aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Gaussian Process Optimization using GPy

Bayesian optimization for Python

Share your terminal as a web application

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

A technical report on convolution arithmetic in the context of deep learning

Residual networks implementation using Keras-1.0 functional API

Scenarios, tutorials and demos for Autonomous Driving

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

Python API for IQ Option

Code for "Learning to Generate Reviews and Discovering Sentiment"

Models and examples built with TensorFlow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Code needed to reproduce "Modeling documents with Generative Adversarial Networks"

Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer

Read/sync your IMAP mailboxes [Python]

Text autoencoder with LSTMs

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

TensorFlow Tutorial and Examples for beginners

An easy to use seq2seq model based on tensorflow's seq2seq

Sequence to Sequence Learning with Keras

Recurrent Neural Network - A curated list of resources dedicated to RNN