A curated list of awesome adversarial machine learning resources

Instance-aware Semantic Segmentation via Multi-task Network Cascades

A toolkit for developing and comparing reinforcement learning algorithms.

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Most commonly used git tips and tricks.

dataset and code for 2016 paper "Learning a Driving Simulator"

gSLICr: Real-time super-pixel segmentation

Deep Learning GPU Training System

A code-completion engine for Vim

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

Display current Git branch name in your terminal prompt when in a Git working directory.

LSTM implementation on Caffe

Master the command line, in one page

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

Common interface for Theano, CGT, and TensorFlow

Fast parallel CTC.

C3D is a modified version of BVLC caffe to support 3D ConvNets.

Efficient Image Captioning code in Torch, runs on GPU

😎 Awesome lists about all kinds of interesting topics

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

Easy benchmarking of all publicly accessible implementations of convnets

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

Torch implementation of neural style algorithm

C++ implementation of Deva Ramanan's "Articulated Pose Estimation with Flexible Mixtures of Parts"

Caffe: a fast open framework for deep learning.

A Versatile and Accurate Monocular SLAM

Pose Aligned Networks for Deep Attribute Modeling matlab code used for the publication here: http://arxiv.org/abs/1311.5591

natural image generation using ConvNets