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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-chinese-version

Chinese Translation for Machine Learning Infographics

100_days_of_ml_code

These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

bilibili-backup

boost_python

Example of calling c++ function in python.

brpc

Most common RPC framework used throughout Baidu, with 600,000+ instances and 500+ kinds of services, called "baidu-rpc" inside Baidu.

codis

Proxy based Redis cluster solution supporting pipeline and scaling dynamically

cronsun

A Distributed, Fault-Tolerant Cron-Style Job System.

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

epoll-lib

Epoll

fasttext

Library for fast text representation and classification.

frugally-deep

Header-only library for using Keras models in C++.

hello_tf_c_api

Neural Network TensorFlow C API

hnsw

HNSW header-only C++/python lib, 200M SIFT experiments from the paper

hs2client

C++ native client for Impala and Hive, with Python / pandas bindings

keras-gan

Keras implementations of Generative Adversarial Networks.

kudu

Mirror of Apache Kudu

libco

libco is a coroutine library which is widely used in wechat back-end service. It has been running on tens of thousands of machines since 2013.

libgo

Go-style concurrency in C++11

libtask

Russ Cox's libtask (with enhancements)

lua_extension

Example of how c++ call lua function.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

movietaster-open

使用Item2Vec做电影推荐

nlp_course

YSDA course in Natural Language Processing

numpy-ml

Machine learning, in numpy

openblas

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

orchid

paddle

PArallel Distributed Deep LEarning （PaddlePaddle核心框架，高性能单机、分布式训练和跨平台部署）

paxosstore

PaxosStore has been deployed in WeChat production for more than two years, providing storage services for the core businesses of WeChat backend. Now PaxosStore is running on thousands of machines, and is able to afford billions of peak TPS.