yds05

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

tensorflow

An Open Source Machine Learning Framework for Everyone

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

cockroach

CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.

helm

The Kubernetes Package Manager

onnx

Open standard for machine learning interoperability

kubeflow

Machine Learning Toolkit for Kubernetes

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

nock

HTTP server mocking and expectations library for Node.js

mimalloc

mimalloc is a compact general purpose allocator with excellent performance.

jemalloc

cpprestsdk

The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

pouch

An Efficient Enterprise-class Container Engine

awesome-operators

A resource tracking a number of Operators out in the wild.

adanet

Fast and flexible AutoML with learning guarantees.

pai

Resource scheduling and cluster management for AI

kubernetes-in-action

Code from the Kubernetes in Action book

training-operator

Distributed ML Training and Fine-Tuning on Kubernetes

kube-batch

A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

KubeGPU

A GPU / device extension framework for Kubernetes

vs-tools-for-ai

Visual Studio Tools for AI is a free Visual Studio extension to build, test, and deploy deep learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.

dive-into-ml-system

Dive into machine learning system, start from reinventing the wheel.

frameworkcontroller

General-Purpose Kubernetes Pod Controller

pyhdfs

Python HDFS client

k8s-website-controller

A barely working example of a Kubernetes controller

SmartLC

GIFEE

Google's Infrastructure for Everyone Else