weichenxu123 Goto Github PK

ant-design

An enterprise-class UI design language and React UI library

arrow

Mirror of Apache Arrow

autobuild-actions

在线编译 OpenWrt | 在线更新固件 | Dev

breeze

Breeze is a numerical processing library for Scala.

clash-dist

clash-tun

A rule-based tunnel in Go.

cloudpickle

Extended pickling support for Python objects

coca

美国当代语料库20000单词筛选

cypher-for-apache-spark

Cypher for Apache Spark brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.

doh-proxy

A proof of concept DNS-Over-HTTPS proxy implementing https://datatracker.ietf.org/doc/draft-ietf-doh-dns-over-https/

dot-proxy

Python implementation of simple DNS over TLS proxy server

ecosystem

Integration of TensorFlow with other open-source frameworks

enhancements

Tracking Ray Enhancement Proposals

graphframes

gym

A playground for experimenting ideas that are related to deep learning

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

joblib

Computing with Python functions.

joblib-spark

Joblib spark backend

keras

Deep Learning for humans

koalas

Koalas: pandas API on Apache Spark

langchain

🦜🔗 Build context-aware reasoning applications

mleap

MLeap: Deploy Spark Pipelines to Production

mlflow

Open source platform for the machine learning lifecycle

mlp-regression-template

Example repo to kickstart integration with mlflow pipelines.

openwrt-clash-meta

packages

Packages

petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

photon-ml

A scalable machine learning library on Apache Spark

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.