Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Deep Learning GPU Training System

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Squeeze-and-Excitation Networks

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Setup and customize deep learning environment in seconds.

Caffe Implementation of Google's MobileNets (v1 and v2)

《深度学习与计算机视觉》配套代码

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE