- Using VIT as a feature extractor https://github.com/rwightman/pytorch-image-models 2 comments computervision
Linking pages
- PyTorch 2.0 | PyTorch https://pytorch.org/get-started/pytorch-2.0/ 153 comments
- GitHub - clovaai/donut: Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022 https://github.com/clovaai/donut 90 comments
- GitHub - lukas-blecher/LaTeX-OCR: pix2tex: Using a ViT to convert images of equations into LaTeX code. https://github.com/lukas-blecher/LaTeX-OCR 69 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - cmhungsteve/Awesome-Transformer-Attention: An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites https://github.com/cmhungsteve/Awesome-Transformer-Attention 13 comments
- GitHub - qubvel/segmentation_models.pytorch: Segmentation models with pretrained backbones. PyTorch. https://github.com/qubvel/segmentation_models.pytorch 9 comments
- GitHub - maziarraissi/Applied-Deep-Learning: Applied Deep Learning Course https://github.com/maziarraissi/Applied-Deep-Learning 6 comments
- GitHub - balavenkatesh3322/CV-pretrained-model: A collection of computer vision pre-trained models. https://github.com/balavenkatesh3322/CV-pretrained-model 5 comments
- GitHub - rstrudel/segmenter: [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation https://github.com/rstrudel/segmenter 4 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- GitHub - lucidrains/vit-pytorch: Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch https://github.com/lucidrains/vit-pytorch#vision-transformer-for-small-datasets 3 comments
- GitHub - chinmaynehate/DFSpot-Deepfake-Recognition: Determine whether a given video sequence has been manipulated or synthetically generated https://github.com/chinmaynehate/DFSpot-Deepfake-Recognition 1 comment
- GitHub - microsoft/Swin-Transformer: This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows". https://github.com/microsoft/Swin-Transformer 1 comment
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- Introducing nvFuser, a deep learning compiler for PyTorch | PyTorch https://pytorch.org/blog/introducing-nvfuser-a-deep-learning-compiler-for-pytorch/ 0 comments
- GitHub - bhimrazy/transformers-and-vit-using-pytorch-from-scratch: This repository is all about transformer and its implementations along with some examples. https://github.com/bhimrazy/transformers-and-vit-using-pytorch-from-scratch 0 comments
- GitHub - jeonsworld/ViT-pytorch: Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale) https://github.com/jeonsworld/ViT-pytorch 0 comments
- Coding with GitHub Copilot | Tanishq Abraham’s blog https://tmabraham.github.io/blog/github_copilot 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 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
Linked pages
- fast.ai – fast.ai—Making neural nets uncool again https://fast.ai 375 comments
- [2102.06171] High-Performance Large-Scale Image Recognition Without Normalization https://arxiv.org/abs/2102.06171 86 comments
- [2105.01601] MLP-Mixer: An all-MLP Architecture for Vision https://arxiv.org/abs/2105.01601 59 comments
- [2110.00476] ResNet strikes back: An improved training procedure in timm https://arxiv.org/abs/2110.00476 45 comments
- [2105.08050] Pay Attention to MLPs https://arxiv.org/abs/2105.08050 25 comments
- [2103.14030] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows https://arxiv.org/abs/2103.14030 20 comments
- [1905.11946] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks https://arxiv.org/abs/1905.11946 10 comments
- GitHub - qubvel/segmentation_models.pytorch: Segmentation models with pretrained backbones. PyTorch. https://github.com/qubvel/segmentation_models.pytorch 9 comments
- GitHub - kornia/kornia: Open Source Differentiable Computer Vision Library https://github.com/kornia/kornia 6 comments
- [2104.00298] EfficientNetV2: Smaller Models and Faster Training https://arxiv.org/abs/2104.00298 6 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- [1807.06521] CBAM: Convolutional Block Attention Module https://arxiv.org/abs/1807.06521 6 comments
- [2201.03545] A ConvNet for the 2020s https://arxiv.org/abs/2201.03545 5 comments
- [2103.06255] Involution: Inverting the Inherence of Convolution for Visual Recognition https://arxiv.org/abs/2103.06255 5 comments
- [2103.07579] Revisiting ResNets: Improved Training and Scaling Strategies https://arxiv.org/abs/2103.07579 4 comments
- [1608.06993] Densely Connected Convolutional Networks https://arxiv.org/abs/1608.06993 3 comments
- [2105.12723] Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding https://arxiv.org/abs/2105.12723 3 comments
- [2103.12731] Scaling Local Self-Attention for Parameter Efficient Visual Backbones https://arxiv.org/abs/2103.12731 2 comments
- [2104.12533] Visformer: The Vision-friendly Transformer https://arxiv.org/abs/2104.12533 2 comments
- [2103.17239] Going deeper with Image Transformers https://arxiv.org/abs/2103.17239 1 comment