books、papers and blogs

Personal experiments and implementation examples of deep learning papers.

This is code of book "Learn Deep Learning with PyTorch"

🌎 machine learning tutorials (mainly in Python3)

The most cited deep learning papers

A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.

Chainer implementation of adversarial autoencoder (AAE)

图解tensorflow 源码

TensorFlow Tutorials

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Im…

Fast k-Nearest Neighbors Classifier for Large Datasets

Classification and Regression Trees with Random Forest implemented in Python

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware