horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

juicefs-csi-driver

JuiceFS CSI Driver

klab-kernel

klab docker image build scripts

kops

Kubernetes Operations (kops) - Production Grade K8s Installation, Upgrades, and Management

kube-batch

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

kube-state-metrics

Add-on agent to generate and expose cluster-level metrics.

kubeadm-ha

Kubernetes high availiability deploy based on kubeadm (for v1.6.x/v1.7.x)

kubernetes

Production-Grade Container Scheduling and Management

lazylist

lazylist is a thread safe sorted list implemented in Go

mini-nbody

A simple gravitational N-body simulation in less than 100 lines of C code, with CUDA optimizations.

mnist-flask

mpi-operator

Kubernetes Operator for Allreduce-style Distributed Training

mxnet-model-server

Model Server for Apache MXNet is a tool for serving neural net models for inference

nerdctl

contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...

netstack

IPv4 and IPv6 userland network stack

nsq

A realtime distributed messaging platform

philly-traces

pipelines

Machine Learning Pipelines for Kubeflow

pool

Connection pool for Go's net.Conn interface

prometheus

A docker-compose stack for Prometheus monitoring

proposal

Go Project Design Documents

protobuf

Protocol Buffers for Go with Gadgets

runc

runc container cli tools

skypilot

SkyPilot is a framework for easily running machine learning workloads on any cloud through a unified interface.

spark-on-k8s-operator

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

sqlflow

A PyTorch Port of SQLFlow

tensorflow

Computation using data flow graphs for scalable machine learning

tools

A fork of callgraph to generate function call graph, doc is under cmd/callgraph

training-operator

Tools for ML/Tensorflow on Kubernetes.

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.