RhythmF

RhythmF's Stars

• Wechat-ggGitHub/Awesome-GitHub-Repo

  收集整理 GitHub 上高质量、有趣的开源项目。

  15.7k1.8k

• PaddlePaddle/awesome-DeepLearning

  深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

  Language:Jupyter Notebook3.3k849

• maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch

  Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

  Language:Python634168

• amusi/awesome-object-detection

  Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

  7.5k1.9k

• PaddlePaddle/PaddleDetection

  Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

  Language:Python13.2k2.9k

• HCIILAB/SCUT-HEAD-Dataset-Release

  SCUT HEAD is a large-scale head detection dataset, including 4405 images labeld with 111251 heads.

  47886

• bubbliiiing/yolov4-pytorch

  这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

  Language:Python2.1k604

• pranoyr/head-detection-using-yolo

  Detection of head using YOLO

  Language:Python16454

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C22k8k

• gjy3035/Awesome-Crowd-Counting

  Awesome Crowd Counting

  2.5k482

• jackzhenguo/python-small-examples

  告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

  Language:Python8k1.8k

• ant-research/cvpr2020-plant-pathology

  Language:Python21050

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4.2k717

• yichaojie/MobileNetV3

  pytorch implementation of MobileNetV3

  Language:Python5612

• PaddlePaddle/PaddleClas

  A treasure chest for visual classification and recognition powered by PaddlePaddle

  Language:Python5.6k1.2k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python31k8.2k

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

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

  Language:Python24.3k8.1k

• HRNet/HRNet-Image-Classification

  Train the HRNet model on ImageNet

  Language:Python994217

• bearpaw/pytorch-classification

  Classification with PyTorch.

  Language:Python1.7k558

• weiaicunzai/awesome-image-classification

  A curated list of deep learning image classification papers and codes

  2.9k602

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• gaoguangshuai/survey-for-crowd-counting

  a survey for CNN-based crowd counting and density estimation

  Language:Python6817

• CommissarMa/Crowd_counting_from_scratch

  This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.

  Language:Python18143

• gjy3035/C-3-Framework

  An open-source PyTorch code for crowd counting

  Language:Jupyter Notebook711201

• chenjun2hao/CenterFace.pytorch

  unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection

  Language:Python23861

• megvii-research/ML-GCN

  PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

  Language:Python1.4k351

• Star-Clouds/CenterFace

  face detection

  Language:C++1.3k356

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.5k45.7k

• Jiakui/awesome-gcn

  resources for graph convolutional networks （图卷积神经网络相关资源）

  889135

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.3k3k