DingchenYang99

DingchenYang99's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.4k3146805.7k

• chenfei-wu/TaskMatrix

  Language:Python34.6k3013553.3k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.8k3254053.4k

• JaidedAI/EasyOCR

  Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

  Language:Python25.1k3181k3.2k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.2k983481.6k

• open-mmlab/mmagic

  OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

  Language:Jupyter Notebook7k977071.1k

• chineseocr/chineseocr

  yolo3+ocr

  Language:Python6k1905431.7k

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.9k29171529

• moskomule/senet.pytorch

  PyTorch implementation of SENet

  Language:Python2.3k170444

• ShoufaChen/DiffusionDet

  [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

  Language:Python2.1k17115162

• erikwijmans/Pointnet2_PyTorch

  PyTorch implementation of Pointnet2/Pointnet++

  Language:Python1.6k17151351

• guochengqian/PointNeXt

  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

  Language:Shell81415148120

• LeapLabTHU/DAT

  Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

  Language:Python813133673

• Julie-tang00/Point-BERT

  [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

  Language:Python563117166

• IDEA-Research/DN-DETR

  [CVPR 2022 Oral] Official implementation of DN-DETR

  Language:Python551166862

• RElbers/info-nce-pytorch

  PyTorch implementation of the InfoNCE loss for self-supervised learning.

  Language:Python50831741

• Alpha-VL/ConvMAE

  ConvMAE: Masked Convolution Meets Masked Autoencoders

  Language:Python490113642

• OpenDriveLab/PersFormer_3DLane

  [ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection

  Language:Python4431412578

• drinkingcoder/FlowFormer-Official

  Language:Python415145047

• lbin/DCNv2

  Deformable Convolutional Networks v2 with Pytorch

  Language:C++37034384

• SensorsINI/v2e

  V2E: From video frames to DVS events

  Language:Python312116755

• chaytonmin/Occupancy-MAE

  Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

  Language:Python26073118

• lxtGH/CAE

  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

  Language:Python19351722

• uzh-rpg/E-RAFT

  Language:Python116121919

• weiyithu/PV-RAFT

  [CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

  Language:Python74479

• feihuzhang/SeparableFlow

  Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation

  Language:Python631099

• xqZhang-Strong/Human-Falling-Detect-Tracks-master

  用yoloV3进行人的侦测，再用SPPE（Alphapose）进行骨架提取，再用连续30帧的ST-GCN进行行为识别。站立、走路、跌倒行为识别，在https://github.com/GajuuzZ/Human-Falling-Detect-Tracks的./models里面添加好了模型

  Language:Python622413

• littlespray/SKFlow

  This repository is the official implementation of "SKFlow: Learning Optical Flow with Super Kernels" .

  Language:Python44253

• ispc-lab/NeuralPCI

  ✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

  Language:Python40295

• yonseivnl/se-cff

  Official implementation of "Stereo Depth from Events Cameras: Concentrate and Focus on the Future" (CVPR 2022)

  Language:Python39356