Multi functional app to find duplicates, empty folders, similar images etc.

Slurm-Mail is a drop in replacement for Slurm's e-mails to give users much more information about their jobs compared to the standard Slurm e-mails.

NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes

NVIDIA GPU metrics exporter for Prometheus leveraging DCGM

Prometheus exporter for slurm job/node data

Jobstats is a job monitoring platform for CPU and GPU clusters

Slurm TUI

My tools for the Slurm HPC workload manager

Prometheus exporter for performance metrics from Slurm.

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

wxParaver is a trace-based visualization and analysis tool designed to study quantitative detailed metrics and obtain qualitative knowledge of the performance of applications, libraries, processors…

Detects reggaeton genre with Machine Learning and sends packets to disable BT speakers (hopefully)

A Python / OpenCV camera server to stream Pi camera content to a remote client through a website.

Badges for your personal developer branding, profile, and projects.

C# based viewer / editor for the Asset Administration Shell

Ludivina - Thermal Printer Bot for Telegram

This repository is for active development of the Azure SDK for Go. For consumers of the SDK we recommend visiting our public developer docs at:

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

📦🚀 Fully automated version management and package publishing

The official FlexGet repository

🦉 Data Versioning and ML Experiments

🌸 A command-line fuzzy finder

Multi-class confusion matrix library in Python

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

A curated list of awesome anomaly detection resources

A curated list of awesome Deep Learning tutorials, projects and communities.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.