0.1.5-weights

What's Changed

• [Backbone] Add ResNetV2 by @DavidLandup0 in #1
• Update README.md by @DavidLandup0 in #2
• Update README.md by @DavidLandup0 in #3
• Update README.md by @DavidLandup0 in #4
• Fix PyTorch ResNet input filters by @DavidLandup0 in #11
• Add PyTorch training example to README.md by @DavidLandup0 in #12
• Update README.md by @DavidLandup0 in #13
• Adding PyTorch Lightning to ResNets by @DavidLandup0 in #14
• Update PyTorch training example in README.md by @DavidLandup0 in #15
• Update README.md Examples by @DavidLandup0 in #16
• Update README.md by @DavidLandup0 in #17
• [Image Classification] Add Vision Transformer family by @DavidLandup0 in #19
• Added PyTorch Lightning for ViT, fix pl logging by @DavidLandup0 in #29
• Enable CUDA for ViTs by @DavidLandup0 in #31
• Update README.md by @DavidLandup0 in #35
• Add basic feature exploration framework by @DavidLandup0 in #36
• Update README.md by @DavidLandup0 in #38
• [FeatureAnalyzer] Quickfix by @DavidLandup0 in #39
• Add customizability to FeatureAnalyzer by @DavidLandup0 in #41
• [FeatureAnalyzer] Support More TF-based outputs by @DavidLandup0 in #43
• Update README.md by @DavidLandup0 in #42
• Add basic usage example notebook by @DavidLandup0 in #44
• Add FusedMBConv layer by @DavidLandup0 in #45
• Add MBConv layer by @DavidLandup0 in #46
• Update README.md by @DavidLandup0 in #47
• [Image Classification] Add EfficientNetV2 Family by @DavidLandup0 in #48
• [Bugfix] EfficientNetV2B0 key is wrong by @DavidLandup0 in #49
• Fix MBConv and FusedMBConv Squeeze-Excite phase for PyTorch variants by @DavidLandup0 in #50
• Equalized EfficientNetV2 PT and TF implementations by @DavidLandup0 in #52
• Create LICENSE.md by @DavidLandup0 in #53
• Add license notice to all files by @DavidLandup0 in #54
• Update README.md by @DavidLandup0 in #57
• Update README.md by @DavidLandup0 in #58
• Update documentation and readme by @DavidLandup0 in #66
• Update transformer_encoder.py documentation by @DavidLandup0 in #67
• setup for pypi package by @DavidLandup0 in #69
• MBConv Weight Conversion by @DavidLandup0 in #70
• FusedMB Weight Conversion by @DavidLandup0 in #72
• Automatic EfficientNet Weight Conversion by @DavidLandup0 in #73
• Add weight porting examples to the README by @DavidLandup0 in #74
• Update README.md by @DavidLandup0 in #75
• Add pip command by @DavidLandup0 in #76
• Version update by @DavidLandup0 in #77
• Update weight mapper by @DavidLandup0 in #78
• Add weight conversion example notebook by @DavidLandup0 in #79
• Update weight conversion module by @DavidLandup0 in #81
• Version update by @DavidLandup0 in #82
• Fix CUDA OOM Issues on Tesla T4 by @DavidLandup0 in #85
• Add Example Notebooks by @DavidLandup0 in #86
• Update README.md by @DavidLandup0 in #87
• ViT include_top fix by @DavidLandup0 in #88
• Update README.md by @DavidLandup0 in #89
• Update README.md by @DavidLandup0 in #90
• Fix link in readme by @DavidLandup0 in #91
• Add NeRF DataLoaders by @DavidLandup0 in #93
• Add validation split for NeRF dataloaders by @DavidLandup0 in #95
• Update Readme by @DavidLandup0 in #96
• Update default ViT Pooling to Token Pooling by @DavidLandup0 in #97
• Add NeRF example notebook by @DavidLandup0 in #98
• Update NeRF example by @DavidLandup0 in #99
• Add NeRF by @DavidLandup0 in #100
• Update README.md by @DavidLandup0 in #103
• Update README.md by @DavidLandup0 in #104
• version bump by @DavidLandup0 in #108

Full Changelog: https://github.com/DavidLandup0/deepvision/commits/0.1.5-weights