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adversarial-document-model

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

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

autoencoder

Text autoencoder with LSTMs

autonomousdrivingcookbook

Scenarios, tutorials and demos for Autonomous Driving

awesome-rnn

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

char-rnn-tensorflow

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

competitions

conv_arithmetic

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

datrix

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-book

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

easy_seq2seq

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

generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment"

generative-models

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

gotty

Share your terminal as a web application

gpyopt

Gaussian Process Optimization using GPy

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

iqoption-api

Python API for IQ Option

keras-resnet

Residual networks implementation using Keras-1.0 functional API

mask_rcnn

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

mhonarc

mhonarc

models

Models and examples built with TensorFlow

neural_architecture_search_with_reinforcement_learning_appendix_a

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

nlputilsdl

utility tools for NLP

notebooks

offlineimap

Read/sync your IMAP mailboxes [Python]

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

projects

Trying to complete over 100 projects in various categories in Python. Fork to learn any new language.

projects_all

pygpgo

Bayesian optimization for Python