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.

Setup and customize deep learning environment in seconds.

Largest list of models for Core ML (for iOS 11+)

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.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

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.

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

Deep learning software for colorizing black and white images with a few clicks.

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

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

《深度学习与计算机视觉》配套代码

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

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

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

🏭 Collaboratively build, visualize, and design neural nets in browser

Joint Detection and Identification Feature Learning for Person Search

Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)

Multi-object trackers in Python

🎯 保姆级深度学习从入门到放弃 🤪 🤪

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation