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Kai-Hsun Chen's Projects

incubator-tvm icon incubator-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

koperator-docs icon koperator-docs

Documentation for Koperator - the operator for managing Apache Kafka on Kubernetes

kruise icon kruise

Automate application management on Kubernetes (project under CNCF)

kube-events icon kube-events

K8s Event Exporting, Filtering and Alerting in Multi-Tenant Environment

kubedl icon kubedl

A unified operator for running deep learning/machine learning workloads on Kubernetes

kuberay icon kuberay

A toolkit to run Ray applications on Kubernetes

lab0-c icon lab0-c

C Programming Lab: Assessing Your C Programming Skills

mips32r1_core icon mips32r1_core

A 32-bit MIPS processor which aims for conformance to the MIPS32 Release 1 ISA.

mips32r1_xum icon mips32r1_xum

A 32-bit MIPS processor which aims for conformance to the MIPS32 Release 1 ISA. This is a bare-metal CPU with no virtual memory. (Old University of Utah XUM archive)

ng-zorro-antd icon ng-zorro-antd

An enterprise-class UI components based on Ant Design and Angular. 🐜

projects icon projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

ptt-watcher icon ptt-watcher

:see_no_evil: Turn PTT posts into Slack/Line messages

ray icon 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.

redis-operator icon redis-operator

Redis Operator creates/configures/manages Redis clusters atop Kubernetes

runc icon runc

CLI tool for spawning and running containers according to the OCI specification

spark icon spark

Apache Spark - A unified analytics engine for large-scale data processing

spark-authorizer icon spark-authorizer

A Spark SQL extension which provides SQL Standard Authorization for Apache Spark

spark-ranger icon spark-ranger

ACL Management for Apache Spark SQL with Apache Ranger. This library has been contributed to https://github.com/apache/submarine as a sub-module, and that module can still be used individually. The project here will no longer be updated. If you have any questions please go to https://github.com/apache/submarine/tree/master/docs/submarine-security/spark-security/README.md to learn how to use and give feedback to the apache submarine community by following https://submarine.apache.org/community/contributors.html

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