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A tool to list and diagnose Go processes currently running on your system
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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GPU cluster manager for running and managing LLMs.
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Run LLM backends, APIs, frontends, and services with one command.
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Open-source managed agent runtime for distributed AI agents.
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A Java to iOS Objective-C translation tool and runtime.
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Run Keras models in the browser, with GPU support provided by WebGL 2.
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Build, packaging, and run system for ephemeral multi-container environments.
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UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.
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Steam Play compatibility tool to run games using native Linux engines
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500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
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Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
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🎶 A Discord music bot that's easy to set up and run yourself!
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The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.
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Open-source module for running AI workloads on Kubernetes in an optimized way.
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React Native app for running LLMs, vision models, and Stable Diffusion on-device on iOS and Android without internet access. opensource.
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Typed graph database where agents branch and merge like Git. S3-native, Rust, traversal + vector + BM25 in one runtime.
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Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
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Free, open-source, self-hosted AI GitHub PR reviewer that runs entirely in GitHub Actions.
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Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
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Open-source platform to run coding agents as managed workers with tasks, approvals, budgets, and workspaces.
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A macOS app for browsing Claude Code sessions, exploring diffs, and re-running commands. Reads local transcripts, runs offline, open source.
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Fast and simple framework for building and running distributed applications.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.