Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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

Clone of http://code.google.com/p/leveldb/

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

Dockerized version of Google's SyntaxNet Parser and POS tagger.

Code and research paper for a project on modeling human acquisition of syntax using transitional probabilities.

Python port of João F. Henriques circulant matrix tracker

Linux port of original Windows code from Olga Barinova

natural image generation using ConvNets

Open source version of jianliao.com

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

"A neural algorithm of Artistic style" in tensorflow

Efficient Image Captioning code in Torch, runs on GPU

Web interface for browsing, search and filtering recent arxiv submissions

🐝Tensorflow Implementation of Spatial Transformer Networks

Spatial Transformer network

Mirror of https://git.ffmpeg.org/ffmpeg.git

DeepDream Animation Helper

implementing deep dream on video

Torch implementation of neural style algorithm

DeepVis Toolbox

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

Convolutional Neural Networks

Context-Aware Object Search and Retrieval

A multi-camera tracking algorithm using matlab.

Robust Multiple Camera Tracking with Spatial And Appearance Contexts

Multi-camera tracking algorithm using OpenCv and intel IPP.