pengyuan

eigentensor

多元转移张量(Multivariate Transition Tensor)及其在POI预测上的应用

adam

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

admix

an admixture analysis tool for Python that supports raw data from 23andme, AncestryDNA, etc.

awesome-deep-learning-papers

The most cited deep learning papers

blog

个人博客

blogbar

Blogbar，聚合个人博客。

coreutils

upstream mirror

decoder

decode your genome

DeepTrade_keras

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

gcr.io

通过阿里云容器镜像服务下载gcr.io镜像

grpc

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

interpy-zh

《Python进阶》（Intermediate Python 中文版）

ItChat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。

Lenia

Lenia - Mathematical Life Forms

loss-landscape

Code for visualizing the loss landscape of neural nets

mlnote

机器学习练习簿

nltk

NLTK Source

openstack-workflow

Openstack Sequence Diagrams(Openstack操作序列图)

PRML

PRML algorithms implemented in Python

programmers-introduction-to-mathematics

Code for A Programmer's Introduction to Mathematics

ray

A high-performance distributed execution engine

simpread

简悦 ( SimpRead ) - 让你瞬间进入沉浸式阅读的扩展

spark-eks

Examples and custom spark images for working with the spark-on-k8s operator on AWS

textClassifier

Text classifier for Hierarchical Attention Networks for Document Classification

tf_ner

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tushare

TuShare is a utility for crawling historical data of China stocks

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.