Must-read list and classic books of computational geometry and computer graphics

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

A list of all named GANs!

List of machine learning competitions for satellite imagery and remote sensing.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

implementations of various types of auto-encoders in tensorflow(in progress)

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Deep Learning and deep reinforcement learning research papers and some codes

scikit-learn: machine learning in Python

Image augmentation for machine learning experiments.

spark ml 算法原理剖析以及具体的源码实现分析

Models and examples built with TensorFlow

pytorch tutorial for beginners

Collection of generative models in Tensorflow

Synthesizing and manipulating 2048x1024 images with conditional GANs

通过MXNet/Gluon来动手学习深度学习

Build your neural network easy and fast

Neural Network Tools: Converter, Constructor and Analyzer. For caffe, pytorch, tensorflow, draknet and so on.

Various tutorials given for welcoming new students at MILA.

Matlab code for machine learning algorithms in book PRML

Simple PyTorch Tutorials Zero to ALL!

PRML algorithms implemented in Python

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Converter tools for Core ML.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments

Deep Hashing Baselines

Material for the Montréal Deep Learning Summer School 2017