Python Implementation of Reinforcement Learning: An Introduction

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

Awesome paper list with code about generative adversarial nets

Python one-liners: Awk-like one-liners for python

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

TensorFlow tutorial on Generative Adversarial Models

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

Tree-adjoining grammar based statistical dependency parser using a general linear model (glm).

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

The log of my 100 Days Of Code (to keep separate from main repo and let people fork a clean version)

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

The "Python Machine Learning (1st edition)" book code repository and info resource

This is a 2D ping pong game created using processings.js

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Resumes generated using the GitHub informations

Python framework for building microservices

A topic-centric list of HQ open datasets.

Startup Programming course at the University of Victoria

Vocabulary on your terminal

Send Notification to your Telegram account from Command line

open course on coursera.org Stanford University