yh9468

yh9468's Stars

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python35.1k18610k6.7k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python30k3728.4k9.5k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.4k1562693.1k

• catboost/catboost

  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

  Language:Python8.2k1912.4k1.2k

• mikel-brostrom/boxmot

  BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

  Language:Python6.9k601.1k1.7k

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.4k66662665

• dreamquark-ai/tabnet

  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

  Language:Python2.7k38314493

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.5k6112336

• HobbitLong/RepDistiller

  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

  Language:Python2.2k1757401

• facebookresearch/classifier-balancing

  This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

  Language:Python9542121137

• megvii-research/mdistiller

  The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

  Language:Python823865122

• linghu8812/tensorrt_inference

  Language:C++70813169208

• implus/GFocal

  Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

  Language:Python587134073

• SakuraRiven/EAST

  PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector

  Language:Python425766126

• twangnh/Distilling-Object-Detectors

  Implementation of CVPR 2019 paper: Distilling Object Detectors with Fine-grained Feature Imitation

  Language:Python417103070

• HikariTJU/LD

  Localization Distillation for Object Detection (CVPR 2022, TPAMI 2023)

  Language:Python36758153

• Gsunshine/Enjoy-Hamburger

  [ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?

  Language:Python32971121

• SysCV/bdd100k-models

  Model Zoo of BDD100K Dataset

  Language:Python300102340

• clovaai/attention-feature-distillation

  Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)

  Language:Python1163221

• Nepherhotep/unwrap_labels

  Algorithm to unwrap labels using edge markers

  Language:Python1153633

• ggjy/DeFeat.pytorch

  Language:Python1114329

• ArchipLab-LinfengZhang/Object-Detection-Knowledge-Distillation-ICLR2021

  The official implementation of ICLR2021 paper "Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors".

  595126

• INCHEON-CHO/Dynamic_Model_Pruning_with_Feedback

  Implement of Dynamic Model Pruning with Feedback with pytorch

  Language:Python39346

• DASH-Lab/VFP290K

  This repository is for *VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection* paper in NeurIPS 2021 (Datasets and Benchmarks)

  Language:Python30264

• Lornatang/YOLOv4-PyTorch

  Pytorch implements yolov4.Good performance, easy to use, fast speed.

  Language:Python284615

• Jangho-Kim/Factor-Transfer-pytorch

  Paraphrasing Complex Network: Network Compression via Factor Transfer Code (NeurIPS 2018)

  Language:Python20107

• AI-GrandChallenge/round-1

  Language:Python14914011

• kjunhwa/SMD-Plus

  13150

• Youmin-Kim/Knowledge_Distillation

  Language:Python8305

• yh9468/yolov5_compression

  Yolo V5 compression method for AI-Challenge

  Language:Python2101