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lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

lipsync

lipsync sets up a lightweight service that provides command-line, Dropbox like syncing

loan-default-prediction

Loan Default Prediction at Kaggle

lsda

Large scale detection through adaptation

ltr

Learning to rank algorithms library

ltrace

ltrace intercepts and records dynamic library calls which are called by an executed process and the signals received by that process. It can also intercept and print the system calls executed by the program.

lzfse

LZFSE compression library and command line tool

mattermost-server

Open source Slack-alternative in Golang and React - Mattermost

memcached

test

memstrike

memcached benchmark tool

mica

MICA: A Fast In-memory Key-Value Store - Initial Release

mincepie

Lightweight MapReduce in python

ml_playground

implementations of numerical optimization and ML algorithms for learning purposes

mshadow

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA

mtcp

mTCP: A Highly Scalable User-level TCP Stack for Multicore Systems

murder

Large scale server deploys using BitTorrent and the BitTornado library

nbsvm

Naive Bayes SVM for Sentiment Analysis

nematus

neuronlp2

Deep neural models for core NLP tasks (Pytorch version)

nlp_dl_lecture_note

nlp_misc

nlp_notes

nlptutorial

A Tutorial about Programming for Natural Language Processing

nmt-android

Neural Machine Translation on Android

nmt-list

A list of Neural MT implementations

nmt-tips

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

nnpack

Acceleration package for neural networks on multi-core CPUs

ocropy

Python-based OCR package using recurrent neural networks.

online-random-bit-regression-ftrl

Online Random Bit Regression with FTRL-Proximal in Python

open-source-search-engine

A distributed open source search engine and spider/crawler written in C/C++ for Linux on Intel/AMD. From gigablast dot com, which has binaries for download. See the README.md file at the very bottom of this page for instructions.