diff --git a/RTNeural/CMakeLists.txt b/RTNeural/CMakeLists.txt
index 61f1876a..c7107bac 100755
--- a/RTNeural/CMakeLists.txt
+++ b/RTNeural/CMakeLists.txt
@@ -46,3 +46,8 @@ target_include_directories(RTNeural
     INTERFACE
         ..
 )
+set(RTNEURAL_NAMESPACE "RTNeural" CACHE STRING "Namespace to use for RTNeural code")
+target_compile_definitions(RTNeural
+    PUBLIC
+        RTNEURAL_NAMESPACE=${RTNEURAL_NAMESPACE}
+)
\ No newline at end of file
diff --git a/RTNeural/Layer.h b/RTNeural/Layer.h
index 5ea2ef65..d5dcb74c 100644
--- a/RTNeural/Layer.h
+++ b/RTNeural/Layer.h
@@ -4,7 +4,7 @@
 #include <cstddef>
 #include <string>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /** Virtual base class for a generic neural network layer. */
@@ -34,6 +34,6 @@ class Layer
     const int out_size;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // LAYER_H_INCLUDED
diff --git a/RTNeural/Model.h b/RTNeural/Model.h
index 9144b513..d23f1c0c 100644
--- a/RTNeural/Model.h
+++ b/RTNeural/Model.h
@@ -19,7 +19,7 @@
 #include "lstm/lstm.h"
 #include "lstm/lstm.tpp"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -112,6 +112,6 @@ class Model
     std::vector<vec_type> outs;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // MODEL_H_INCLUDED
diff --git a/RTNeural/ModelT.h b/RTNeural/ModelT.h
index 7376e6bf..a90882bb 100644
--- a/RTNeural/ModelT.h
+++ b/RTNeural/ModelT.h
@@ -2,7 +2,7 @@
 
 #include "model_loader.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 #ifndef DOXYGEN
@@ -575,4 +575,4 @@ class ModelT2D
     static constexpr size_t n_layers = sizeof...(Layers);
 };
 #endif // RTNEURAL_USE_XSIMD
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/RTNeural.cpp b/RTNeural/RTNeural.cpp
index 92e6daeb..1ce85cdb 100644
--- a/RTNeural/RTNeural.cpp
+++ b/RTNeural/RTNeural.cpp
@@ -1,7 +1,7 @@
 #include "RTNeural.h"
 
 // forward declare some template classes
-template class RTNeural::Model<float>;
-template class RTNeural::Model<double>;
-template class RTNeural::Layer<float>;
-template class RTNeural::Layer<double>;
+template class RTNEURAL_NAMESPACE::Model<float>;
+template class RTNEURAL_NAMESPACE::Model<double>;
+template class RTNEURAL_NAMESPACE::Layer<float>;
+template class RTNEURAL_NAMESPACE::Layer<double>;
diff --git a/RTNeural/RTNeural.h b/RTNeural/RTNeural.h
index 482e17f2..af7e450f 100644
--- a/RTNeural/RTNeural.h
+++ b/RTNeural/RTNeural.h
@@ -5,6 +5,10 @@
 // C++ STL includes
 #include <limits>
 
+#ifndef RTNEURAL_NAMESPACE
+#define RTNEURAL_NAMESPACE RTNeural
+#endif
+
 // Handle default RTNeural defines
 #ifndef RTNEURAL_DEFAULT_ALIGNMENT
 #if _MSC_VER
diff --git a/RTNeural/activation/activation.h b/RTNeural/activation/activation.h
index c591dd54..3cc19c24 100644
--- a/RTNeural/activation/activation.h
+++ b/RTNeural/activation/activation.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <functional>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /** Base class for activation layers. */
@@ -35,7 +35,7 @@ class Activation : public Layer<T>
     const std::function<T(T)> func;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #if RTNEURAL_USE_EIGEN
 #include "activation_eigen.h"
@@ -48,7 +48,7 @@ class Activation : public Layer<T>
 #include "../maths/maths_stl.h"
 #include <cmath>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /** Dynamic implementation of a tanh activation layer. */
@@ -424,7 +424,7 @@ class PReLUActivationT
     T outs[size];
     T alpha[size];
 };
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // RTNEURAL_USE_EIGEN
 
diff --git a/RTNeural/activation/activation_eigen.h b/RTNeural/activation/activation_eigen.h
index 49ee79b0..18699b6e 100644
--- a/RTNeural/activation/activation_eigen.h
+++ b/RTNeural/activation/activation_eigen.h
@@ -4,7 +4,7 @@
 #include "../common.h"
 #include "../maths/maths_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /** Dynamic implementation of a tanh activation layer. */
@@ -463,6 +463,6 @@ class PReLUActivationT
     T outs_internal alignas(RTNEURAL_DEFAULT_ALIGNMENT)[out_size];
     v_type alpha;
 };
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // ACTIVATIONEIGEN_H_INCLUDED
diff --git a/RTNeural/activation/activation_xsimd.h b/RTNeural/activation/activation_xsimd.h
index d84cff17..2b201e9b 100644
--- a/RTNeural/activation/activation_xsimd.h
+++ b/RTNeural/activation/activation_xsimd.h
@@ -4,7 +4,7 @@
 #include "../common.h"
 #include "../maths/maths_xsimd.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /** Dynamic implementation of a tanh activation layer. */
@@ -430,6 +430,6 @@ class PReLUActivationT
     v_type outs[v_io_size];
     v_type alpha[v_io_size];
 };
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // ACTIVATIONXSIMD_H_INCLUDED
diff --git a/RTNeural/batchnorm/batchnorm.h b/RTNeural/batchnorm/batchnorm.h
index 056983c2..2c66821a 100644
--- a/RTNeural/batchnorm/batchnorm.h
+++ b/RTNeural/batchnorm/batchnorm.h
@@ -12,7 +12,7 @@
 #include "../common.h"
 #include <vector>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /** Dynamic batch normalization layer. */
 template <typename T>
diff --git a/RTNeural/batchnorm/batchnorm.tpp b/RTNeural/batchnorm/batchnorm.tpp
index 746d3acf..73828491 100644
--- a/RTNeural/batchnorm/batchnorm.tpp
+++ b/RTNeural/batchnorm/batchnorm.tpp
@@ -1,6 +1,6 @@
 #include "batchnorm.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 #if !RTNEURAL_USE_EIGEN && !RTNEURAL_USE_XSIMD
 
diff --git a/RTNeural/batchnorm/batchnorm2d.h b/RTNeural/batchnorm/batchnorm2d.h
index f15cb0b7..a11dbca0 100644
--- a/RTNeural/batchnorm/batchnorm2d.h
+++ b/RTNeural/batchnorm/batchnorm2d.h
@@ -10,7 +10,7 @@
 #else
 #include "../Layer.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /** Dynamic batch normalization layer. */
 template <typename T>
diff --git a/RTNeural/batchnorm/batchnorm2d.tpp b/RTNeural/batchnorm/batchnorm2d.tpp
index 4cae8531..12699e3a 100644
--- a/RTNeural/batchnorm/batchnorm2d.tpp
+++ b/RTNeural/batchnorm/batchnorm2d.tpp
@@ -2,7 +2,7 @@
 
 #if !RTNEURAL_USE_EIGEN && !RTNEURAL_USE_XSIMD
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 BatchNorm2DLayer<T>::BatchNorm2DLayer(int in_num_filters, int in_num_features)
diff --git a/RTNeural/batchnorm/batchnorm2d_eigen.h b/RTNeural/batchnorm/batchnorm2d_eigen.h
index 747b0652..e3ee59db 100644
--- a/RTNeural/batchnorm/batchnorm2d_eigen.h
+++ b/RTNeural/batchnorm/batchnorm2d_eigen.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <Eigen/Dense>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /** Dynamic batch normalization layer. */
 template <typename T>
diff --git a/RTNeural/batchnorm/batchnorm2d_eigen.tpp b/RTNeural/batchnorm/batchnorm2d_eigen.tpp
index d52e233f..2e41a4ad 100644
--- a/RTNeural/batchnorm/batchnorm2d_eigen.tpp
+++ b/RTNeural/batchnorm/batchnorm2d_eigen.tpp
@@ -1,6 +1,6 @@
 #include "batchnorm2d_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 BatchNorm2DLayer<T>::BatchNorm2DLayer(int in_num_filters, int in_num_features)
diff --git a/RTNeural/batchnorm/batchnorm2d_xsimd.h b/RTNeural/batchnorm/batchnorm2d_xsimd.h
index 1da4a560..edb35d56 100644
--- a/RTNeural/batchnorm/batchnorm2d_xsimd.h
+++ b/RTNeural/batchnorm/batchnorm2d_xsimd.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <xsimd/xsimd.hpp>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /** Dynamic batch normalization layer. */
 template <typename T>
diff --git a/RTNeural/batchnorm/batchnorm2d_xsimd.tpp b/RTNeural/batchnorm/batchnorm2d_xsimd.tpp
index 6d9b6cc4..ca17b5f0 100644
--- a/RTNeural/batchnorm/batchnorm2d_xsimd.tpp
+++ b/RTNeural/batchnorm/batchnorm2d_xsimd.tpp
@@ -1,6 +1,6 @@
 #include "batchnorm2d_xsimd.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 BatchNorm2DLayer<T>::BatchNorm2DLayer(int in_num_filters, int in_num_features)
diff --git a/RTNeural/batchnorm/batchnorm_eigen.h b/RTNeural/batchnorm/batchnorm_eigen.h
index b46fcdc5..e1597d5d 100644
--- a/RTNeural/batchnorm/batchnorm_eigen.h
+++ b/RTNeural/batchnorm/batchnorm_eigen.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <Eigen/Dense>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /** Dynamic batch normalization layer. */
 template <typename T>
diff --git a/RTNeural/batchnorm/batchnorm_eigen.tpp b/RTNeural/batchnorm/batchnorm_eigen.tpp
index 02983bbd..b2657f6e 100644
--- a/RTNeural/batchnorm/batchnorm_eigen.tpp
+++ b/RTNeural/batchnorm/batchnorm_eigen.tpp
@@ -1,6 +1,6 @@
 #include "batchnorm_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 BatchNorm1DLayer<T>::BatchNorm1DLayer(int size)
diff --git a/RTNeural/batchnorm/batchnorm_xsimd.h b/RTNeural/batchnorm/batchnorm_xsimd.h
index 87691984..c709bad0 100644
--- a/RTNeural/batchnorm/batchnorm_xsimd.h
+++ b/RTNeural/batchnorm/batchnorm_xsimd.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <xsimd/xsimd.hpp>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /** Dynamic batch normalization layer. */
 template <typename T>
diff --git a/RTNeural/batchnorm/batchnorm_xsimd.tpp b/RTNeural/batchnorm/batchnorm_xsimd.tpp
index 742c3362..3946af32 100644
--- a/RTNeural/batchnorm/batchnorm_xsimd.tpp
+++ b/RTNeural/batchnorm/batchnorm_xsimd.tpp
@@ -1,6 +1,6 @@
 #include "batchnorm_xsimd.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 BatchNorm1DLayer<T>::BatchNorm1DLayer(int size)
diff --git a/RTNeural/common.h b/RTNeural/common.h
index efe760f6..ed8320fc 100644
--- a/RTNeural/common.h
+++ b/RTNeural/common.h
@@ -1,6 +1,6 @@
 #pragma once
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -29,26 +29,26 @@ constexpr T ceil_div(T num, T den)
 {
     return (num + den - 1) / den;
 }
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #if RTNEURAL_USE_EIGEN
 #include <Eigen/Dense>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 #if RTNEURAL_DEFAULT_ALIGNMENT == 32
 constexpr auto RTNeuralEigenAlignment = Eigen::Aligned32;
 #else
 constexpr auto RTNeuralEigenAlignment = Eigen::Aligned16;
 #endif
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #elif RTNEURAL_USE_XSIMD
 #include <xsimd/xsimd.hpp>
 
 #include "xsimd-legacy/algorithms/algorithms.hpp"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 template <typename T>
@@ -236,20 +236,20 @@ static inline void elu(const T* in, T* out, int dim, T alpha) noexcept
     for(auto i = vec_size; i < dim; ++i)
         out[i] = in[i] > (T)0 ? in[i] : (alpha * (MathsProvider::exp(in[i]) - (T)1));
 }
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #else // STL backend
 #include <algorithm>
 #include <cmath>
 #include <numeric>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 static inline T vMult(const T* arg1, const T* arg2, int dim) noexcept
 {
     return std::inner_product(arg1, arg1 + dim, arg2, (T)0);
 }
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif
diff --git a/RTNeural/conv1d/conv1d.h b/RTNeural/conv1d/conv1d.h
index ed513aa8..382c4977 100644
--- a/RTNeural/conv1d/conv1d.h
+++ b/RTNeural/conv1d/conv1d.h
@@ -12,7 +12,7 @@
 #include "../common.h"
 #include <vector>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -241,6 +241,6 @@ class Conv1DT
             state_ptrs[k] = (state_ptr + state_size - k * dilation_rate) % state_size;
     }
 };
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 #endif
 #endif // CONV1D_H_INCLUDED
diff --git a/RTNeural/conv1d/conv1d.tpp b/RTNeural/conv1d/conv1d.tpp
index 147b3d92..9ab9a03a 100644
--- a/RTNeural/conv1d/conv1d.tpp
+++ b/RTNeural/conv1d/conv1d.tpp
@@ -1,6 +1,6 @@
 #include "conv1d.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 #if !RTNEURAL_USE_EIGEN && !RTNEURAL_USE_XSIMD
@@ -166,4 +166,4 @@ void Conv1DT<T, in_sizet, out_sizet, kernel_size, dilation_rate, dynamic_state>:
 
 #endif
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/conv1d/conv1d_eigen.h b/RTNeural/conv1d/conv1d_eigen.h
index e0bcb4bb..bca2209c 100644
--- a/RTNeural/conv1d/conv1d_eigen.h
+++ b/RTNeural/conv1d/conv1d_eigen.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <Eigen/Dense>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -214,6 +214,6 @@ class Conv1DT
     }
 };
 
-} // RTNeural
+} // RTNEURAL_NAMESPACE
 
 #endif // CONV1DEIGEN_H_INCLUDED
diff --git a/RTNeural/conv1d/conv1d_eigen.tpp b/RTNeural/conv1d/conv1d_eigen.tpp
index c2a15797..957fb16b 100644
--- a/RTNeural/conv1d/conv1d_eigen.tpp
+++ b/RTNeural/conv1d/conv1d_eigen.tpp
@@ -1,6 +1,6 @@
 #include "conv1d_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 template <typename T>
@@ -105,4 +105,4 @@ void Conv1DT<T, in_sizet, out_sizet, kernel_size, dilation_rate, dynamic_state>:
         bias(i) = biasVals[i];
 }
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/conv1d/conv1d_xsimd.h b/RTNeural/conv1d/conv1d_xsimd.h
index 3ccbc563..60e11f7a 100644
--- a/RTNeural/conv1d/conv1d_xsimd.h
+++ b/RTNeural/conv1d/conv1d_xsimd.h
@@ -6,7 +6,7 @@
 #include <numeric>
 #include <vector>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -313,6 +313,6 @@ class Conv1DT
             state_ptrs[k] = (state_ptr + state_size - k * dilation_rate) % state_size;
     }
 };
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // CONV1DXSIMD_H_INCLUDED
diff --git a/RTNeural/conv1d/conv1d_xsimd.tpp b/RTNeural/conv1d/conv1d_xsimd.tpp
index 7d3d03fd..ce02502d 100644
--- a/RTNeural/conv1d/conv1d_xsimd.tpp
+++ b/RTNeural/conv1d/conv1d_xsimd.tpp
@@ -1,6 +1,6 @@
 #include "conv1d_xsimd.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 template <typename T>
@@ -126,4 +126,4 @@ void Conv1DT<T, in_sizet, out_sizet, kernel_size, dilation_rate, dynamic_state>:
         bias[i / v_size] = set_value(bias[i / v_size], i % v_size, biasVals[i]);
 }
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/conv1d_stateless/conv1d_stateless.h b/RTNeural/conv1d_stateless/conv1d_stateless.h
index c115dac5..b15d135b 100644
--- a/RTNeural/conv1d_stateless/conv1d_stateless.h
+++ b/RTNeural/conv1d_stateless/conv1d_stateless.h
@@ -10,7 +10,7 @@
 #else
 #include "../Layer.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /**
  * Dynamic implementation of a 1-dimensional stateless convolution layer with no activation.
diff --git a/RTNeural/conv1d_stateless/conv1d_stateless.tpp b/RTNeural/conv1d_stateless/conv1d_stateless.tpp
index b3e2050e..2431143e 100644
--- a/RTNeural/conv1d_stateless/conv1d_stateless.tpp
+++ b/RTNeural/conv1d_stateless/conv1d_stateless.tpp
@@ -1,6 +1,6 @@
 #include "conv1d_stateless.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 Conv1DStateless<T>::Conv1DStateless(int in_num_filters_in, int in_num_features_in, int in_num_filters_out, int in_kernel_size, int in_stride, bool in_valid_pad)
@@ -78,4 +78,4 @@ void Conv1DStatelessT<T, num_filters_in_t, num_features_in_t, num_filters_out_t,
             for(int j = 0; j < kernel_size_t; ++j)
                 kernelWeights[i][k][j] = inWeights.at(j).at(k).at(i);
 }
-} // RTNeural
+} // RTNEURAL_NAMESPACE
diff --git a/RTNeural/conv1d_stateless/conv1d_stateless_eigen.h b/RTNeural/conv1d_stateless/conv1d_stateless_eigen.h
index d8ddbff7..8bed159e 100644
--- a/RTNeural/conv1d_stateless/conv1d_stateless_eigen.h
+++ b/RTNeural/conv1d_stateless/conv1d_stateless_eigen.h
@@ -5,7 +5,7 @@
 #include "../common.h"
 #include <Eigen/Dense>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /**
  * Dynamic implementation of a 1-dimensional stateless convolution layer with no activation.
diff --git a/RTNeural/conv1d_stateless/conv1d_stateless_eigen.tpp b/RTNeural/conv1d_stateless/conv1d_stateless_eigen.tpp
index f8dca7f8..f86ca00e 100644
--- a/RTNeural/conv1d_stateless/conv1d_stateless_eigen.tpp
+++ b/RTNeural/conv1d_stateless/conv1d_stateless_eigen.tpp
@@ -1,6 +1,6 @@
 #include "conv1d_stateless_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 Conv1DStateless<T>::Conv1DStateless(int in_num_filters_in, int in_num_features_in, int in_num_filters_out, int in_kernel_size, int in_stride, bool in_valid_pad)
@@ -72,4 +72,4 @@ void Conv1DStatelessT<T, num_filters_in_t, num_features_in_t, num_filters_out_t,
             for(int j = 0; j < kernel_size_t; ++j)
                 kernelWeights[i](k, j) = inWeights.at(j).at(k).at(i);
 }
-} // RTNeural
+} // RTNEURAL_NAMESPACE
diff --git a/RTNeural/conv1d_stateless/conv1d_stateless_xsimd.h b/RTNeural/conv1d_stateless/conv1d_stateless_xsimd.h
index 62d167ad..7e34f0e8 100644
--- a/RTNeural/conv1d_stateless/conv1d_stateless_xsimd.h
+++ b/RTNeural/conv1d_stateless/conv1d_stateless_xsimd.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <xsimd/xsimd.hpp>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /**
  * Dynamic implementation of a 1-dimensional stateless convolution layer with no activation.
diff --git a/RTNeural/conv1d_stateless/conv1d_stateless_xsimd.tpp b/RTNeural/conv1d_stateless/conv1d_stateless_xsimd.tpp
index 5f602e01..42cccffe 100644
--- a/RTNeural/conv1d_stateless/conv1d_stateless_xsimd.tpp
+++ b/RTNeural/conv1d_stateless/conv1d_stateless_xsimd.tpp
@@ -1,6 +1,6 @@
 #include "conv1d_stateless_xsimd.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 Conv1DStateless<T>::Conv1DStateless(int in_num_filters_in, int in_num_features_in, int in_num_filters_out, int in_kernel_size, int in_stride, bool in_valid_pad)
@@ -71,4 +71,4 @@ void Conv1DStatelessT<T, num_filters_in_t, num_features_in_t, num_filters_out_t,
             for(int j = 0; j < kernel_size_t; ++j)
                 kernelWeights[i][j][k / v_size] = set_value(kernelWeights[i][j][k / v_size], k % v_size, inWeights.at(i).at(k).at(j));
 }
-} // RTNeural
+} // RTNEURAL_NAMESPACE
diff --git a/RTNeural/conv2d/conv2d.h b/RTNeural/conv2d/conv2d.h
index 9103e614..fa88b367 100644
--- a/RTNeural/conv2d/conv2d.h
+++ b/RTNeural/conv2d/conv2d.h
@@ -12,7 +12,7 @@
 #include "../common.h"
 #include "../conv1d_stateless/conv1d_stateless.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /**
  * Dynamic implementation of a 2-dimensional convolution layer with no activation.
diff --git a/RTNeural/conv2d/conv2d.tpp b/RTNeural/conv2d/conv2d.tpp
index cb03fc03..47304c31 100644
--- a/RTNeural/conv2d/conv2d.tpp
+++ b/RTNeural/conv2d/conv2d.tpp
@@ -2,7 +2,7 @@
 
 #if !RTNEURAL_USE_EIGEN && !RTNEURAL_USE_XSIMD
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 Conv2D<T>::Conv2D(int in_num_filters_in, int in_num_filters_out, int in_num_features_in, int in_kernel_size_time, int in_kernel_size_feature,
@@ -87,6 +87,6 @@ void Conv2DT<T, num_filters_in_t, num_filters_out_t, num_features_in_t, kernel_s
 {
     std::copy(inBias.begin(), inBias.end(), bias.begin());
 }
-} // RTNeural
+} // RTNEURAL_NAMESPACE
 
 #endif // RTNEURAL_USE_STL
diff --git a/RTNeural/conv2d/conv2d_eigen.h b/RTNeural/conv2d/conv2d_eigen.h
index 7ca932e7..e03f600a 100644
--- a/RTNeural/conv2d/conv2d_eigen.h
+++ b/RTNeural/conv2d/conv2d_eigen.h
@@ -6,7 +6,7 @@
 #include "../conv1d_stateless/conv1d_stateless.h"
 #include <Eigen/Dense>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /**
  * Dynamic implementation of a 2-dimensional convolution layer with no activation.
diff --git a/RTNeural/conv2d/conv2d_eigen.tpp b/RTNeural/conv2d/conv2d_eigen.tpp
index d913e6f0..7ede4590 100644
--- a/RTNeural/conv2d/conv2d_eigen.tpp
+++ b/RTNeural/conv2d/conv2d_eigen.tpp
@@ -1,6 +1,6 @@
 #include "conv2d_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 Conv2D<T>::Conv2D(int in_num_filters_in, int in_num_filters_out, int in_num_features_in, int in_kernel_size_time, int in_kernel_size_feature,
@@ -88,4 +88,4 @@ void Conv2DT<T, num_filters_in_t, num_filters_out_t, num_features_in_t, kernel_s
         bias(i) = inBias[i];
     }
 }
-} // RTNeural
\ No newline at end of file
+} // RTNEURAL_NAMESPACE
\ No newline at end of file
diff --git a/RTNeural/conv2d/conv2d_xsimd.h b/RTNeural/conv2d/conv2d_xsimd.h
index 0a4043a4..b27c1b4f 100644
--- a/RTNeural/conv2d/conv2d_xsimd.h
+++ b/RTNeural/conv2d/conv2d_xsimd.h
@@ -5,7 +5,7 @@
 #include "../conv1d_stateless/conv1d_stateless.h"
 #include <xsimd/xsimd.hpp>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /**
  * Dynamic implementation of a 2-dimensional convolution layer with no activation.
diff --git a/RTNeural/conv2d/conv2d_xsimd.tpp b/RTNeural/conv2d/conv2d_xsimd.tpp
index c195b05e..c6fbbceb 100644
--- a/RTNeural/conv2d/conv2d_xsimd.tpp
+++ b/RTNeural/conv2d/conv2d_xsimd.tpp
@@ -1,6 +1,6 @@
 #include "conv2d_xsimd.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 template <typename T>
 Conv2D<T>::Conv2D(int in_num_filters_in, int in_num_filters_out, int in_num_features_in, int in_kernel_size_time, int in_kernel_size_feature,
@@ -85,4 +85,4 @@ void Conv2DT<T, num_filters_in_t, num_filters_out_t, num_features_in_t, kernel_s
 {
     std::copy(inBias.begin(), inBias.end(), reinterpret_cast<T*>(std::begin(bias)));
 }
-} // RTNeural
+} // RTNEURAL_NAMESPACE
diff --git a/RTNeural/dense/dense.h b/RTNeural/dense/dense.h
index 19d6b9ce..76395f47 100644
--- a/RTNeural/dense/dense.h
+++ b/RTNeural/dense/dense.h
@@ -12,7 +12,7 @@
 #else
 #include "../Layer.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 #ifndef DOXYGEN
@@ -246,7 +246,7 @@ class DenseT
     T weights[weights_size];
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // RTNEURAL_USE_STL
 
diff --git a/RTNeural/dense/dense_eigen.h b/RTNeural/dense/dense_eigen.h
index 09fb4bbe..d858c0ef 100644
--- a/RTNeural/dense/dense_eigen.h
+++ b/RTNeural/dense/dense_eigen.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <Eigen/Dense>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -204,6 +204,6 @@ class DenseT
     mat_type weights;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // DENSEEIGEN_H_INCLUDED
diff --git a/RTNeural/dense/dense_xsimd.h b/RTNeural/dense/dense_xsimd.h
index d1bb9e7d..15d797e5 100644
--- a/RTNeural/dense/dense_xsimd.h
+++ b/RTNeural/dense/dense_xsimd.h
@@ -4,7 +4,7 @@
 #include "../Layer.h"
 #include <xsimd/xsimd.hpp>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -382,6 +382,6 @@ class DenseT<T, 1, out_sizet>
     v_type weights[v_out_size];
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // DENSEXSIMD_H_INCLUDED
diff --git a/RTNeural/gru/gru.h b/RTNeural/gru/gru.h
index 406cf4ca..6d452420 100644
--- a/RTNeural/gru/gru.h
+++ b/RTNeural/gru/gru.h
@@ -15,7 +15,7 @@
 #include "../maths/maths_stl.h"
 #include <vector>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -339,7 +339,7 @@ class GRULayerT
     T delayPlus1Mult = (T)0;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // RTNEURAL_USE_EIGEN
 
diff --git a/RTNeural/gru/gru.tpp b/RTNeural/gru/gru.tpp
index e4d9b540..1c3c76ff 100644
--- a/RTNeural/gru/gru.tpp
+++ b/RTNeural/gru/gru.tpp
@@ -1,6 +1,6 @@
 #include "gru.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 #if !RTNEURAL_USE_EIGEN && !RTNEURAL_USE_XSIMD
@@ -361,4 +361,4 @@ void GRULayerT<T, in_sizet, out_sizet, sampleRateCorr, MathsProvider>::setBVals(
 
 #endif // !RTNEURAL_USE_EIGEN && !RTNEURAL_USE_XSIMD
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/gru/gru_eigen.h b/RTNeural/gru/gru_eigen.h
index f4a02410..54e468fb 100644
--- a/RTNeural/gru/gru_eigen.h
+++ b/RTNeural/gru/gru_eigen.h
@@ -5,7 +5,7 @@
 #include "../common.h"
 #include "../maths/maths_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -330,6 +330,6 @@ class GRULayerT
     T delayPlus1Mult = (T)0;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // GRUEIGEN_H_INCLUDED
diff --git a/RTNeural/gru/gru_eigen.tpp b/RTNeural/gru/gru_eigen.tpp
index c3e3b835..ab07b8eb 100644
--- a/RTNeural/gru/gru_eigen.tpp
+++ b/RTNeural/gru/gru_eigen.tpp
@@ -2,7 +2,7 @@
 
 #include "gru_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 template <typename T, typename MathsProvider>
@@ -235,6 +235,6 @@ void GRULayerT<T, in_sizet, out_sizet, sampleRateCorr, MathsProvider>::setBVals(
     }
 }
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // RTNEURAL_USE_EIGEN
diff --git a/RTNeural/gru/gru_xsimd.h b/RTNeural/gru/gru_xsimd.h
index 556628ea..665ff107 100644
--- a/RTNeural/gru/gru_xsimd.h
+++ b/RTNeural/gru/gru_xsimd.h
@@ -5,7 +5,7 @@
 #include "../common.h"
 #include "../maths/maths_xsimd.h"
 #include <vector>
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -380,6 +380,6 @@ class GRULayerT
     v_type delayPlus1Mult = (T)0;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // GRUXSIMD_H_INCLUDED
diff --git a/RTNeural/gru/gru_xsimd.tpp b/RTNeural/gru/gru_xsimd.tpp
index 7833b0ed..2c797f38 100644
--- a/RTNeural/gru/gru_xsimd.tpp
+++ b/RTNeural/gru/gru_xsimd.tpp
@@ -1,6 +1,6 @@
 #include "gru_xsimd.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 template <typename T, typename MathsProvider>
@@ -334,4 +334,4 @@ void GRULayerT<T, in_sizet, out_sizet, sampleRateCorr, MathsProvider>::setBVals(
     }
 }
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/lstm/lstm.h b/RTNeural/lstm/lstm.h
index a9d3f374..c4a85d80 100644
--- a/RTNeural/lstm/lstm.h
+++ b/RTNeural/lstm/lstm.h
@@ -13,7 +13,7 @@
 #include "../maths/maths_stl.h"
 #include <vector>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -345,7 +345,7 @@ class LSTMLayerT
     T delayPlus1Mult = (T)0;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif
 
diff --git a/RTNeural/lstm/lstm.tpp b/RTNeural/lstm/lstm.tpp
index d41d7004..4e6b29e3 100644
--- a/RTNeural/lstm/lstm.tpp
+++ b/RTNeural/lstm/lstm.tpp
@@ -1,6 +1,6 @@
 #include "lstm.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 #if !RTNEURAL_USE_EIGEN && !RTNEURAL_USE_XSIMD
@@ -284,4 +284,4 @@ void LSTMLayerT<T, in_sizet, out_sizet, sampleRateCorr, MathsProvider>::setBVals
 
 #endif // !RTNEURAL_USE_EIGEN && !RTNEURAL_USE_XSIMD
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/lstm/lstm_eigen.h b/RTNeural/lstm/lstm_eigen.h
index 38a7f5bb..3d614d0f 100644
--- a/RTNeural/lstm/lstm_eigen.h
+++ b/RTNeural/lstm/lstm_eigen.h
@@ -5,7 +5,7 @@
 #include "../common.h"
 #include "../maths/maths_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -275,6 +275,6 @@ class LSTMLayerT
     T delayPlus1Mult = (T)0;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // LSTM_EIGEN_INCLUDED
diff --git a/RTNeural/lstm/lstm_eigen.tpp b/RTNeural/lstm/lstm_eigen.tpp
index 105ab151..c48301dd 100644
--- a/RTNeural/lstm/lstm_eigen.tpp
+++ b/RTNeural/lstm/lstm_eigen.tpp
@@ -1,6 +1,6 @@
 #include "lstm_eigen.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 template <typename T, typename MathsProvider>
@@ -205,4 +205,4 @@ void LSTMLayerT<T, in_sizet, out_sizet, sampleRateCorr, MathsProvider>::setBVals
     }
 }
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/lstm/lstm_xsimd.h b/RTNeural/lstm/lstm_xsimd.h
index 203e3c47..9ef8af0a 100644
--- a/RTNeural/lstm/lstm_xsimd.h
+++ b/RTNeural/lstm/lstm_xsimd.h
@@ -6,7 +6,7 @@
 #include "../maths/maths_xsimd.h"
 #include <vector>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 /**
@@ -392,6 +392,6 @@ class LSTMLayerT
     v_type delayPlus1Mult = (T)0;
 };
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
 
 #endif // LSTM_XSIMD_H_INCLUDED
diff --git a/RTNeural/lstm/lstm_xsimd.tpp b/RTNeural/lstm/lstm_xsimd.tpp
index 1b5ca605..ad1f1b96 100644
--- a/RTNeural/lstm/lstm_xsimd.tpp
+++ b/RTNeural/lstm/lstm_xsimd.tpp
@@ -1,6 +1,6 @@
 #include "lstm_xsimd.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 
 template <typename T, typename MathsProvider>
@@ -256,4 +256,4 @@ void LSTMLayerT<T, in_sizet, out_sizet, sampleRateCorr, MathsProvider>::setBVals
     }
 }
 
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/maths/maths_eigen.h b/RTNeural/maths/maths_eigen.h
index a061b620..3f7c8be3 100644
--- a/RTNeural/maths/maths_eigen.h
+++ b/RTNeural/maths/maths_eigen.h
@@ -2,7 +2,7 @@
 
 #include <cmath>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 struct DefaultMathsProvider
 {
diff --git a/RTNeural/maths/maths_stl.h b/RTNeural/maths/maths_stl.h
index 3210e7cc..ae9d76c1 100644
--- a/RTNeural/maths/maths_stl.h
+++ b/RTNeural/maths/maths_stl.h
@@ -2,7 +2,7 @@
 
 #include <cmath>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 struct DefaultMathsProvider
 {
diff --git a/RTNeural/maths/maths_xsimd.h b/RTNeural/maths/maths_xsimd.h
index 80c20dbf..45a6177c 100644
--- a/RTNeural/maths/maths_xsimd.h
+++ b/RTNeural/maths/maths_xsimd.h
@@ -2,7 +2,7 @@
 
 #include <cmath>
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 struct DefaultMathsProvider
 {
diff --git a/RTNeural/model_loader.h b/RTNeural/model_loader.h
index 836cd000..10daf051 100644
--- a/RTNeural/model_loader.h
+++ b/RTNeural/model_loader.h
@@ -16,7 +16,7 @@
 #define RTNEURAL_MAYBE_UNUSED
 #endif
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 /** Utility functions for loading model weights from their json representation. */
 namespace json_parser
@@ -718,4 +718,4 @@ namespace json_parser
     }
 
 } // namespace json_parser
-} // namespace RTNeural
+} // namespace RTNEURAL_NAMESPACE
diff --git a/RTNeural/torch_helpers.h b/RTNeural/torch_helpers.h
index 78533185..25401fc5 100644
--- a/RTNeural/torch_helpers.h
+++ b/RTNeural/torch_helpers.h
@@ -2,7 +2,7 @@
 
 #include "model_loader.h"
 
-namespace RTNeural
+namespace RTNEURAL_NAMESPACE
 {
 namespace torch_helpers
 {
diff --git a/examples/hello_rtneural/Makefile b/examples/hello_rtneural/Makefile
index 00f10103..a4dc267a 100644
--- a/examples/hello_rtneural/Makefile
+++ b/examples/hello_rtneural/Makefile
@@ -1,4 +1,4 @@
-CXXFLAGS = -O3 -I../../ -std=c++17 -DRTNEURAL_DEFAULT_ALIGNMENT=16
+CXXFLAGS = -O3 -I../../ -std=c++17 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_NAMESPACE=RTNeural
 
 # Extra flags for compiling with Eigen backend
 # CXXFLAGS += -DRTNEURAL_USE_EIGEN=1 -I../../modules/Eigen