Fwngry

Fwngry's Stars

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python38.8k3841.7k4.3k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.2k6251798.1k

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.1k1604198k

• chenyuntc/pytorch-book

  PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

  Language:Jupyter Notebook12.1k2812183.7k

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.4k388311.7k

• xingyizhou/CenterNet

  Object detection, 3D detection, and pose estimation using center point detection:

  Language:Python7.3k1131k1.9k

• ccfddl/ccf-deadlines

  ⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

  Language:Vue6.3k2283439

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.3k601.6k1.5k

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.7k711.4k1.3k

• thuml/Transfer-Learning-Library

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  Language:Python3.4k48202557

• freemocap/freemocap

  Free Motion Capture for Everyone 💀✨

  Language:Python3.4k92299262

• fundamentalvision/BEVFormer

  [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

  Language:Python3.4k70267545

• torch-points3d/torch-points3d

  Pytorch framework for doing deep learning on point clouds.

  Language:Python2.5k54365393

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python1.9k4228186

• nghorbani/human_body_prior

  VPoser: Variational Human Pose Prior

  Language:Jupyter Notebook7962568141

• ShiqiYu/OpenGait

  A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

  Language:Python73718212168

• ethnhe/PVN3D

  Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020

  Language:Python49119113105

• mks0601/3DMPPE_ROOTNET_RELEASE

  Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

  Language:Python481195465

• layumi/Vehicle_reID-Collection

  :red_car: the collection of vehicle re-ID papers, datasets. :red_car:

  45917352

• BigTeacher-777/Awesome-Monocular-3D-detection

  Awesome Monocular 3D detection

  37522346

• NVlabs/GLAMR

  [CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.

  Language:Python359254032

• openxrlab/xrmocap

  OpenXRLab Multi-view Motion Capture Toolbox and Benchmark

  Language:Python34987742

• tinatiansjz/hmr-survey

  [TPAMI 2023] Recovering 3D Human Mesh from Monocular Images: A Survey

  34317511

• LiMeng95/MultiPoseNet.pytorch

  pytorch implementation of MultiPoseNet (ECCV 2018, Muhammed Kocabas et al.)

  Language:Python196133132

• xinzhuma/3dodi-survey

  https://arxiv.org/pdf/2202.02980

  1441239

• caizhongang/humman_toolbox

  Toolbox for HuMMan Dataset

  Language:Python874131

• YhQIAO/PointCloudSVMDemo

  三维点云激光分类（建筑，树木）

  Language:Python705531

• hanabi7/VoteHMR

  the official code of VoteHMR

  Language:Python292110

• xiezhongzhao/Hand_Pose_Estimation_on_Depth_Image

  With efficient data augmentation, we only train the Resnet-50 network to get the relative low 3D joints errors on the NYU hand dataset.

  Language:Python7311

• Anirudh257/Render-SMPL-X-mesh-on-system-without-GPU

  Language:Jupyter Notebook3321