wuyongfa-genius

wuyongfa-genius's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.6k4601325.9k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.4k3263252.6k

• google-deepmind/alphafold

  Open source code for AlphaFold 2.

  Language:Python13k2288682.3k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.9k454211.6k

• kornia/kornia

  🐍 Geometric Computer Vision Library for Spatial AI

  Language:Python10.1k129950979

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.5k771.5k2.2k

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.9k1151061.5k

• ifzhang/ByteTrack

  [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

  Language:Python4.9k45377927

• google-research/scenic

  Scenic: A Jax Library for Computer Vision Research and Beyond

  Language:Python3.4k40268440

• facebookresearch/vissl

  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

  Language:Jupyter Notebook3.3k54173334

• NVlabs/SegFormer

  Official PyTorch implementation of SegFormer

  Language:Python2.7k31157364

• uploadcare/pillow-simd

  The friendly PIL fork

  Language:Python2.2k419086

• rentruewang/koila

  Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

  Language:Python1.8k122863

• vturrisi/solo-learn

  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

  Language:Python1.4k12161188

• sail-sg/volo

  VOLO: Vision Outlooker for Visual Recognition

  Language:Jupyter Notebook934214395

• phil-bergmann/tracking_wo_bnw

  Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

  Language:Python82023144196

• google-research/sam

  Language:Python57191872

• microsoft/CvT

  This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

  Language:Python5611423119

• WXinlong/DenseCL

  Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

  Language:Python55173569

• kaix90/DCTNet

  Language:Python463125699

• open-mmlab/labelbee-client

  Out-of-the-box Annotation Toolbox

  Language:JavaScript38685051

• luyug/GradCache

  Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

  Language:Python36992924

• note286/xdupgthesis

  [停止维护 请使用note286/xduts]西安电子科技大学研究生学位论文XeLaTeX模板

  Language:TeX33438757

• haochen-rye/NeRV

  Official Pytorch implementation for video neural representation (NeRV)

  Language:Python29772426

• ajabri/videowalk

  Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

  Language:Python268204438

• visinf/dense-ulearn-vos

  Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)

  Language:Python18191421

• lucidrains/fast-transformer-pytorch

  Implementation of Fast Transformer in Pytorch

  Language:Python1729017

• xvjiarui/VFS

  Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)

  Language:Python14491811

• benMen87/ApproximateConvolutionalSparseCoding

  An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328

  Language:Python431210

• kevtimova/deep-sparse

  We introduce a way to extend sparse dictionary learning to deep architectures.

  Language:Python15126