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Easy Data Preparation with latest LLMs-based Operators and Pipelines.
🚴 Call stack profiler for Python. Shows you why your code is slow!
A Datacenter Scale Distributed Inference Serving Framework
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
The Sphinx documentation generator
[mirror] Go Tools
Simple feed-forward neural network in JavaScript
Easy & Flexible Alerting With ElasticSearch
Official git repo for iodine dns tunnel
已迁移新仓库,此版本将不再维护
Ajenti Core and stock plugins
An open-source 3DS emulator project based on Citra.
Build autonomous AI agents in Python.
RailsAdmin is a Rails engine that provides an easy-to-use interface for managing your data
🚀🎬 ShortGPT - Experimental AI framework for youtube shorts / tiktok channel automation
A self-hosted email client with an AI agent, running entirely on Cloudflare Workers
Minimal web UI for ChatGPT.
Import and export tools for elasticsearch & opensearch
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
Server automation framework and application
Collaborative office suite, end-to-end encrypted and open-source.
A Ruby/Rack web server built for parallelism
Scan, index, and archive all of your paper documents
Podman Desktop is the best free and open source tool to work with Containers and Kubernetes for developers. Get an intuitive and user-friendly interface to effortlessly build, manage, and deploy containers and Kubernetes — all from your desktop.
Simplistic interactive filtering tool
✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.
Orchestrate sandboxed coding agents in TypeScript with sandcastle.run()
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Deepsec is a security harness for finding vulnerabilities in your codebase powered by coding agents
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.