David61

transims

Automatically exported from code.google.com/p/transims

BDA_m_demos

Bayesian Data Analysis demos for Matlab/Octave

char-rnn

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

cxxnet

fast, concise, distributed deep learning framework

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

DeepLearningTutorial

Deep learning tutorial in Chinese/深度学习教程中文版

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

fbcunn

Facebook's extensions to torch/cunn.

fcm

fuzzy c-means clustering in Matlab

mapv_datas

the mapv applicaitons data please do not delete

MATLAB

Misc matlab scripts

minerva

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

myrrix-recommender

Stand-alone recommender system from Myrrix

NVIDIABot

pygis

Python GIS tools

scikit-learn

scikit-learn: machine learning in Python

scrapy

Scrapy, a fast high-level screen scraping and web crawling framework for Python.

shadowsocks-iOS

shadowsocks client for OSX and non-jailbroken iOS

sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

test

test

torch7