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caffe-windows

char-rnn

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

chartist-js

Simple responsive charts

cmt

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

cxxnet

fast, concise, distributed deep learning framework

d3

A JavaScript visualization library for HTML and SVG.

darknet

Convolutional Neural Networks

dat7

General Assembly's Data Science course in Washington, DC

deeplearning

Deep Learning (Python, C/C++, Java, Scala)

distro

Torch installation in a self-contained folder

dp

A deep learning library for streamlining research and development using the Torch7 distribution.

fast-rcnn

Fast R-CNN

fluentknockouthelpers

Strongly typed Knockout.js helpers for C# types demoed in a Durandal.js SPA

init-script-template

A template for simple System V init scripts

jtorch

Jonathan's Torch7 Utility Library (C++, OpenCL)

keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

ldagibbssampling

Liu Yang's implementation for Gibbs Sampling of LDA

neural-style

Torch implementation of neural style algorithm

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nltk

NLTK Source

nn

pcl

Point Cloud Library (PCL)

polyglot

Multilingual text (NLP) processing toolkit

pva-faster-rcnn

Demo code for PVANET

py-r-fcn

R-FCN with joint training and python support

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

signal

signal-m-s

softmax_variants

PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss