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arena

A CLI for Kubeflow.

container-tracer

The project brings the power of the Linux kernel tracing to Kubernetes. It leverages existing kernel tracing frameworks such as ftrace, perf, ebpf to trace workloads running on a Kubernetes cluster. Designed as a native Kubernetes application, its main goal is to be simple and efficient in doing one thing - collecting system traces per container.

device-sdk-go

Owner: Device WG

gpt4free

decentralising the Ai Industry, just some language model api's...

herak-raspberry

Raspberry Pico applications for monitoring and controlling devices in my house.

herak-shelly

Shelly scripts for monitoring and controlling devices in my house.

iraincalc

Calculate rainfall information from commercial microwave link (CML) data

katacoda-scenarios

Katacoda Scenarios

kf-manifests

A repository for Kustomize manifests

kfserving

Serverless Inferencing on Kubernetes

kinney

Real-time campus microgrid management for solar, EVs, HVAC, etc.

kubeflow

Machine Learning Toolkit for Kubernetes

kubeflow-pipeline-development

kubeflow-website

Kubeflow's public website

kuberay

A toolkit to run Ray applications on Kubernetes

libtracevent-parser

a new frex & bison parser implementation for libtracevent

libvoltronic

Library to interface with Voltronic devices like the Axpert & InfiniSolar

ml-conversational-analytic-tool

A machine learning framework to automatically assess pull request comments and reviews for constructive and inclusive communication

models

A collection of pre-trained, state-of-the-art models in the ONNX format

onnx

Open standard for machine learning interoperability

opensense_sandbox

Collection of runable examples with software packages for processing opportunistic rainfall sensors

pico-pio-usb

USB host/device implementation using PIO of raspberry pi pico (RP2040).

pipelines

Machine Learning Pipelines for Kubeflow

pixie

Instant Kubernetes-Native Application Observability

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.

same-project

tetragon

eBPF-based Security Observability and Runtime Enforcement

trace-cmd-ms

trace-cruncher

Trace-Cruncher provides an interface between the existing instrumentation for collection and visualization of Linux kernel tracing data and the ecosystem of instruments for data analysis available in Python.

trace-kube

The project brings the power of the Linux kernel tracing to Kubernetes. It leverages existing kernel tracing frameworks such as ftrace, perf, ebpf to trace workloads running on a Kubernetes cluster. Designed as a native Kubernetes application, its main goal is to be simple and efficient in doing one thing - collecting system traces per container.