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practical-cnn

A VGG practical on convolutional neural networks

practical6

Practical 6: LSTM language models

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

purine2

Purified Purine.

python_plotting_snippets

Tips and tricks for plotting in python

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

rcnn

R-CNN: Regions with Convolutional Neural Network Features

resnet-1k-layers

Deep Residual Networks with 1K Layers

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

reveal.js

The HTML Presentation Framework

reviewer_experience_prediction

System for scraping video game review data from Steam and analyzing the data in terms of NLP features and other attributes, such as hours played by reviewer, number of times the review was marked helpful, etc. The end result is to enable machine learning experiments with the collected data/features.

reweighted-ws

Implementation of the reweighted wake-sleep machine learning algorithm

rlbench

A large-scale benchmark and learning environment.

rnn

Recurrent Neural Network library for Torch7's nn

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

robust_ranking

rodeo

A data centric IDE for Python

salience_reid

MATLAB code for our CVPR 2013 work "R. Zhao, W. Ouyang, and X. Wang. Unsupervised Salience Learning for Person Re-identification. In CVPR 2013."

scene-text-recognition

scenereco

ctpn+crnn Scene character recognition

sentiment-2015-asm

Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction

shogun

The Shogun Machine Learning Toolbox (Source Code)

siamese-lstm

Siamese Recurrent Neural network with LSTM for evaluating semantic similarity between sentences.

simpleds

A Simple Deep Reinforcement Learning Dialogue System

singa

distributed deep learning training system

skip-thoughts

snack

Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings

softras

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

source-classification

classifying sources in seismic data using machine learning (uses Scattering Transform package by Joan Bruna and Stephane Mallat, and K-Wave (kwave.org))