GitHub - achaiah/pywick: High-level batteries-included neural network training library for Pytorch

Linking pages

GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://github.com/ritchieng/the-incredible-pytorch 0 comments
GitHub - bharathgs/Awesome-pytorch-list: A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. https://github.com/bharathgs/Awesome-pytorch-list 0 comments

Linked pages

[1905.11946] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks https://arxiv.org/abs/1905.11946 10 comments
[1505.04597] U-Net: Convolutional Networks for Biomedical Image Segmentation https://arxiv.org/abs/1505.04597 8 comments
[1502.03167] Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift http://arxiv.org/abs/1502.03167 6 comments
[1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
[1608.06993] Densely Connected Convolutional Networks https://arxiv.org/abs/1608.06993 3 comments
GitHub - rwightman/pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more https://github.com/rwightman/pytorch-image-models 2 comments
[1907.09595] MixConv: Mixed Depthwise Convolutional Kernels https://arxiv.org/abs/1907.09595 1 comment
[1712.00559] Progressive Neural Architecture Search https://arxiv.org/abs/1712.00559 0 comments
[1511.00561] SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation https://arxiv.org/abs/1511.00561 0 comments
[1707.07012] Learning Transferable Architectures for Scalable Image Recognition https://arxiv.org/abs/1707.07012 0 comments
[1602.07360] SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and &ampampampampampampampampampampampampampampampampampampampLT0.5MB model size https://arxiv.org/abs/1602.07360 0 comments
[1602.07261] Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning http://arxiv.org/abs/1602.07261 0 comments
[1606.02147] ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation http://arxiv.org/abs/1606.02147 0 comments
[1605.07146] Wide Residual Networks http://arxiv.org/abs/1605.07146 0 comments
[1709.01507] Squeeze-and-Excitation Networks https://arxiv.org/abs/1709.01507 0 comments
[2004.08955] ResNeSt: Split-Attention Networks https://arxiv.org/abs/2004.08955 0 comments