Deploy a Production Ready Kubernetes Cluster

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Named Tensors for Legible Deep Learning in JAX

Open source platform for the machine learning lifecycle

Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

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.

Kubernetes website and documentation repo:

Orbax provides common checkpointing and persistence utilities for JAX users

Go rules for Bazel

Open standard for machine learning interoperability

Starlark implementation of bazel rules for CUDA.

vscode/vscodium extension for providing Ansible auto-completion and integrating quality assurance tools like ansible-lint, ansible syntax check, yamllint, molecule and ansible-test.

A microbenchmark support library

Bazel Python Rules

Training operators on Kubernetes.

ansible-lint checks playbooks for practices and behavior that could potentially be improved and can fix some of the most common ones for you

LLVM toolchain for bazel

Multi-backend implementation of SYCL for CPUs and GPUs

Home Assistant Integration for Hatch Rest Mini

PyTorch tutorials.

A conda-smithy repository for ansible-lint.

An implementation of the Debug Adapter Protocol for Python

Apache Thrift

Cap'n Proto serialization/RPC system - Python bindings

bazel build rules to use boost in bazel projects

Kubeflow Website

Build rules for interfacing with "foreign" (non-Bazel) build systems (CMake, configure-make, GNU Make, boost, ninja)

Automated Machine Learning on Kubernetes