Models and examples built with TensorFlow

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Python Implementation of Reinforcement Learning: An Introduction

A MNIST-like fashion product database. Benchmark 👇

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

A collection of important graph embedding, classification and representation learning papers with implementations.

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Effective Python: Third Edition — Source Code and Errata for the Book

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Scalable Bloom Filter implemented in Python

MobileNet build with Tensorflow

Distributed Deep learning with Keras & Spark

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

Utilities for working with image data, text data, and sequence data.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Fact Extraction from Wikipedia Text

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.

Implementation of the PageRank algorithm

Python port of Mikolov's word2phrase.c from the word2vec toolkit

Pydata Dallas 2015 Scikit-Learn Tutorial

Similarity search on Wikipedia using gensim in Python.

Homework for Course cs373: Programming a Robotic Car