Jharry502

Jharry502's Stars

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.5k9.5k

• Fafa-DL/Awesome-Backbones

  Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

  Language:Python1.5k237

• 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:Vue5.9k411

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python49.7k16.1k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX58.6k9.3k

• icoz69/CEC-CVPR2021

  Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

  Language:Python15233

• Hedlen/awesome-segment-anything

  Tracking and collecting papers/projects/others related to Segment Anything.

  1.5k130

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.2k1.2k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.5k4.7k

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

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

  Language:Python22.4k7.9k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.3k2.4k

• rafaelpadilla/Object-Detection-Metrics

  Most popular metrics used to evaluate object detection algorithms.

  Language:Python4.9k1k

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook3.9k2.4k

• o0o0o0o0o0o0o/image-processing-from-scratch

  This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.

  Language:C++1.1k305

• freegecko/freegecko

  Config files for my GitHub profile.

  1304

• TommyZihao/zihao_course

  同济子豪兄的公开课

  1.5k183

• MLNLP-World/Paper-Writing-Tips

  MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

  3.5k450

• dvl-tum/mot_neural_solver

  Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

  Language:Python34969

• yu-lab-vt/CINDA

  Circulation Network based Data-association for Multi-object Tracking

  Language:C324

• SpyderXu/multi-object-tracking-paper-list

  Paper list and source code for multi-object-tracking

  1.7k355

• nightmaredimple/Multi-object-Tracking-paper-code-list

  23237

• PRML/PRMLT

  Matlab code of machine learning algorithms in book PRML

  Language:MATLAB6k2.2k

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook14k3.5k

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  23.8k4.7k

• fengdu78/Data-Science-Notes

  数据科学的笔记以及资料搜集

  Language:Jupyter Notebook8.1k3.1k

• JackWoo0831/Yolov7-tracker

  Yolo X, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your own projects.

  Language:Python61285

• HanGuangXin/ByteTrack_ReID

  ByteTrack with ReID module following the paradigm of FairMOT, tracking strategy is borrowed from FairMOT/JDE.

  Language:Python10115

• FighterLYL/GraphNeuralNetwork

  《深入浅出图神经网络：GNN原理解析》配套代码

  Language:Jupyter Notebook1.7k457

• wangs311/awesome-domain-adaptation-object-detection

  A collection of papers about domain adaptation object detection. Welcome to PR the works (papers, repositories) that are missed by the repo.

  29727

• kuanhungchen/awesome-tiny-object-detection

  🕶 A curated list of Tiny Object Detection papers and related resources.

  1.5k209