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Releases: FluxML/Metalhead.jl

v0.9.4

10 Sep 15:34
d64b565
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Metalhead v0.9.4

Diff since v0.9.3

Merged pull requests:

  • Fix link in the documentation to MobileNet models. (#273) (@dmolina)
  • Fix broken links (#274) (@christiangnrd)
  • CompatHelper: bump compat for JLD2 to 0.5, (keep existing compat) (#279) (@github-actions[bot])

Closed issues:

  • question about SqueezeNet (#277)

v0.9.3

18 Jan 04:28
052d311
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Metalhead v0.9.3

Diff since v0.9.2

Merged pull requests:

Closed issues:

  • Default VGG dropout probability changed to zero (#271)

v0.9.2

05 Jan 03:19
eed0c64
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Metalhead v0.9.2

Diff since v0.9.1

Merged pull requests:

Closed issues:

  • VGG pretrained (#268)
  • VGG has two "higher-level" functions (#269)

v0.9.1

28 Dec 04:37
2ad3337
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Metalhead v0.9.1

Diff since v0.9.0

Merged pull requests:

  • CompatHelper: add new compat entry for Statistics at version 1, (keep existing compat) (#255) (@github-actions[bot])
  • CompatHelper: add new compat entry for LazyArtifacts at version 1, (keep existing compat) (#256) (@github-actions[bot])
  • CompatHelper: add new compat entry for Artifacts at version 1, (keep existing compat) (#257) (@github-actions[bot])
  • use julia-actions/cache in CI (#260) (@IanButterworth)
  • Switch to (Re)TestItems (#262) (@ToucheSir)
  • Fix docstring typos (#263) (@christiangnrd)
  • Fix bug where MobileNetv2/3 return a MobileNetv1 (#265) (@darsnack)
  • Move to Documenter 1.0 (and some miscellaneous fixes) (#266) (@theabhirath)

Closed issues:

  • Cannot run EfficientNetv2 on gpu (#261)

v0.9.0

16 Oct 18:53
d60172f
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Metalhead v0.9.0

Diff since v0.8.3

Merged pull requests:

Closed issues:

  • Make CUDA an optional dependency in Julia 1.9 (#250)
  • Saving large models with JLD2 fails (#252)

v0.8.3

21 Sep 15:35
6e92ad6
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Metalhead v0.8.3

Diff since v0.8.2

Merged pull requests:

  • Adding a more detailed introduction to the Layers module (#249) (@theabhirath)
  • CompatHelper: bump compat for CUDA to 5, (keep existing compat) (#251) (@github-actions[bot])

v0.8.2

17 Jul 06:15
0d3e3d0
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Metalhead v0.8.2

Diff since v0.8.1

Merged pull requests:

v0.8.1

14 Jul 21:09
043c030
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Metalhead v0.8.1

Diff since v0.8.0

Closed issues:

  • No valid algorithm found for EfficientNet and EfficientNetv2 (#245)

Merged pull requests:

  • CompatHelper: bump compat for NNlib to 0.9, (keep existing compat) (#244) (@github-actions[bot])
  • CompatHelper: bump compat for Flux to 0.14, (keep existing compat) (#246) (@github-actions[bot])

v0.8.0

06 Jun 15:34
ec27452
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Metalhead v0.8.0

See this blog post on fluxml.ai about what's new in 0.8.

Diff since v0.7.4

Closed issues:

  • Move MHAttention layer to Flux (#141)
  • Issues with ViT on the GPU (#165)
  • Cannot load pretrained weights for ResNet on master (#206)
  • Support for convolution on N-dimensions (#213)
  • Fixing deprecated models (#218)
  • all links in the Function column in the readme are broken (#220)
  • mismatch with torchvision resnets (#228)
  • cannot match attention layer output to pytorch's one (#231)
  • change ViT constructor's defaults (#232)
  • change loadpretrain! to load the model_state (#234)
  • pin the artifacts url to specific commit (#236)
  • got unsupported keyword argument "inchannels" (#237)
  • Release v0.8 (#240)

Merged pull requests:

v0.7.4

18 Feb 13:48
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Metalhead v0.7.4

Diff since v0.7.3

Closed issues:

  • MobileNetv1 doesn't match the implementation in the paper (#186)
  • Tweak GoogLeNet and Inception family to match the torchvision implementations (#196)
  • Unable to load pretrained ResNeXt models (#212)

Merged pull requests:

  • Overhaul of ResNet API (#174) (@theabhirath)
  • Initial switch to ReTest.jl (#182) (@darsnack)
  • Removed extra mobilenetv1 fc layer, fcsize param (#189) (@cluffa)
  • Expose a uniform API at the highest level for models (#190) (@theabhirath)
  • Res2Net and Res2NeXt, again (#195) (@theabhirath)
  • Add pretrained weights on ImageNet for some models (#197) (@theabhirath)
  • Implementation of EfficientNetv2 and MNASNet (#198) (@theabhirath)
  • Migrate docs to Documenter.jl (#199) (@Saransh-cpp)
  • Unify lower level API for EfficientNet and MobileNet model families (#200) (@theabhirath)
  • Do not catch orthogonal errors when loading (#203) (@darsnack)
  • CompatHelper: bump compat for MLUtils to 0.3, (keep existing compat) (#204) (@github-actions[bot])
  • Tweak GoogLeNet to match the torchvision implementations (#205) (@pri1311)
  • CompatHelper: bump compat for Functors to 0.4, (keep existing compat) (#207) (@github-actions[bot])
  • Readme Links broken (#208) (@ashwani-rathee)
  • Adding UNet implementation (#210) (@shivance)
  • CompatHelper: bump compat for MLUtils to 0.4, (keep existing compat) (#211) (@github-actions[bot])
  • Mark resnet acctests broken (#214) (@ToucheSir)
  • update: actions node 12 => node 16 (#217) (@skyleaworlder)