tzstoyanov Goto Github PK
Name: Tzvetomir Stoyanov
Type: User
Company: VMware
Location: Sofia
Name: Tzvetomir Stoyanov
Type: User
Company: VMware
Location: Sofia
A CLI for Kubeflow.
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.
Owner: Device WG
decentralising the Ai Industry, just some language model api's...
Raspberry Pico applications for monitoring and controlling devices in my house.
Shelly scripts for monitoring and controlling devices in my house.
Calculate rainfall information from commercial microwave link (CML) data
Katacoda Scenarios
A repository for Kustomize manifests
Serverless Inferencing on Kubernetes
Real-time campus microgrid management for solar, EVs, HVAC, etc.
Machine Learning Toolkit for Kubernetes
Kubeflow's public website
A toolkit to run Ray applications on Kubernetes
a new frex & bison parser implementation for libtracevent
Library to interface with Voltronic devices like the Axpert & InfiniSolar
A machine learning framework to automatically assess pull request comments and reviews for constructive and inclusive communication
A collection of pre-trained, state-of-the-art models in the ONNX format
Open standard for machine learning interoperability
Collection of runable examples with software packages for processing opportunistic rainfall sensors
USB host/device implementation using PIO of raspberry pi pico (RP2040).
Machine Learning Pipelines for Kubeflow
Instant Kubernetes-Native Application Observability
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.
eBPF-based Security Observability and Runtime Enforcement
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.
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.