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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

face_recognition

A face recognition system integrated with Retinaface and insightface.

feathernets_face-anti-spoofing-attack-detection-challenge-cvpr2019

Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)

flask_video_streamer

I will combine Flask with OpenCV, enabling me to: Access frames from RPi camera module or USB webcam. Process the frames and apply an arbitrary algorithm (here we’ll be using background subtraction/motion detection, but you could apply image classification, object detection, etc.). Stream the results to a web page/web browser.

github-chinese-top-charts

:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！（最近更新于10月9日，上班快乐 :tada:）

insightface

implementation of insightface by using Tensorflow

insightface_pytorch

Pytorch0.4.1 codes for InsightFace

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

ncnn-android-yolox

opencv_contrib

Repository for OpenCV's extra modules

openpose_train

Training repository for OpenPose

pytorch_classification

This is a image classification repository of pytorch

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

resnest

ResNeSt: Split-Attention Network

retinadetector

基于RetinaFace的目标检测方法，适用于人脸、缺陷、小目标、行人等

tensorflow-yolov3

pure tensorflow Implement of YOLOv3 with support to train your own dataset

yolov3-channel-and-layer-pruning

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

yolox

YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.