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

Minimal and clean examples of machine learning algorithms

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine le…

TensorFlow Tutorial and Examples for beginners

Library for fast text representation and classification.

scikit-learn: machine learning in Python

Open Machine Intelligence Framework for Hackers. (GPU/CPU)

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

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

Computation using data flow graphs for scalable machine learning

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

A header-only C++ library for large scale eigenvalue problems

Multithreaded Asynchronous FTRL Proximal Implementation

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

An reimplementation of Microsoft DSSM

Substitute for bloom filter.

GitHub clone of SVN repo http://word2vec.googlecode.com/svn/trunk/ (cloned by http://svn2github.com/)

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

lda模型的python实现

Parallel RNN LM trainer

A Python Implementation of Simhash Algorithm

compare embedding

canopy clustering and k-Means clustering on Hadoop MapReduce implemented in C++

PLSA implementation via EM algorithm

A library for k-nearest neighbor search

eXtreme Gradient Boosting (GBDT or GBRT) Library for large-scale (distributed) machine learning