dlcookbook-dlbs

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.

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

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Setup and customize deep learning environment in seconds.

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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.

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

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

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

? Tools for Go projects