Massively Parallel Deep Reinforcement Learning. 🔥
-
Updated
Sep 19, 2024 - Python
Massively Parallel Deep Reinforcement Learning. 🔥
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
A lightweight Python library for simulating Chinese handwriting
Simiki is a simple wiki framework, written in Python.
High Performance Software-Defined Object Storage for Big Data and AI, that supports Amazon S3 and Openstack Swift
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
A light-weight, power efficient, and general purpose convolutional neural network
detect stages in video automatically
Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)
LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
Tiktok Downloader/Scraper using requests & bs4
A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]
Distillation of KoBERT from SKTBrain (Lightweight KoBERT)
[AAAI'21] Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
Add a description, image, and links to the lightweight topic page so that developers can more easily learn about it.
To associate your repository with the lightweight topic, visit your repo's landing page and select "manage topics."