Tzvetomir Stoyanov (tzstoyanov)

tzstoyanov

Geek Repo

Company:VMware

Location:Sofia

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Tzvetomir Stoyanov's repositories

arena

A CLI for Kubeflow.

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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.

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device-sdk-go

Owner: Device WG

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gpt4free

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

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herak-raspberry

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

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herak-shelly

Shelly scripts for monitoring and controlling devices in my house.

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iraincalc

Calculate rainfall information from commercial microwave link (CML) data

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katacoda-scenarios

Katacoda Scenarios

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kfserving

Serverless Inferencing on Kubernetes

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kinney

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

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kubeflow

Machine Learning Toolkit for Kubernetes

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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.

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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.

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kf-manifests

A repository for Kustomize manifests

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kubeflow-website

Kubeflow's public website

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kuberay

A toolkit to run Ray applications on Kubernetes

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libvoltronic

Library to interface with Voltronic devices like the Axpert & InfiniSolar

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ml-conversational-analytic-tool

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

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models

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

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onnx

Open standard for machine learning interoperability

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OPENSENSE_sandbox

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

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Pico-PIO-USB

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

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pipelines

Machine Learning Pipelines for Kubeflow

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pixie

Instant Kubernetes-Native Application Observability

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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.

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tetragon

eBPF-based Security Observability and Runtime Enforcement

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trace-tsync

trace-cmd fork with PTP timesync patches

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uftrace

Function graph tracer for C/C++/Rust

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