starkmchen Goto Github PK

faiss

A library for efficient similarity search and clustering of dense vectors.

fbcunn

Facebook's extensions to torch/cunn.

gdlnotes

Google Deep Learning笔记

gensim

Topic Modelling for Humans

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

gocnn

using CNN to do move prediction and board evaluation for the board game Go

graph-pattern-match

graph pattern match

graphx

Former GraphX development repository. GraphX has been merged into Apache Spark; please submit pull requests there.

heter_hash

cross modal hash

incubator-systemml

Mirror of Apache SystemML (Incubating)

iotnotes

Internet of Things Notes in Chinese

kg-beijing

北京知识图谱学习小组

lasso

LASSO is a parallel regression model learning system

libble-spark

libffm

maxent

Maximum Entropy Modeling Toolkit for Python and C++

mdbm

MDBM a very fast memory-mapped key/value store.

mugo

Replicating AlphaGo's architecture in a readable manner

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

neuraltalk

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

neuronblocks

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

nmt

TensorFlow Neural Machine Translation Tutorial

nmt-tips

A tutorial about neural machine translation including tips on building practical systems

normalize.css

A collection of HTML element and attribute style-normalizations

nstools

Some meaningless nscripter tools.

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

parameter_server

A distributed machine learning framework.

planout

PlanOut is a library and interpreter for designing online experiments.

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 ;)

public

SailingLab's Petuum project.