M

Machine Learning

🔧🔗https://github.com/Comfy-Org/ComfyUI_frontend

Official front-end implementation of ComfyUI

CUA

https://github.com/trycua/cua Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

🔧🔗https://github.com/tensorzero/tensorzero TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation

🔧🔗https://github.com/transformerlab/transformerlab-app Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer

🔧🔗https://github.com/mlflow/mlflow

Open source platform for the machine learning lifecycle

🕸️🔗https://mlflow.org/

Dyad

🔧🔗https://github.com/dyad-sh/dyad Free, local, open-source AI app builder ✨ v0 / lovable / Bolt alternative 🌟 Star if you like it!

🔧🔗https://github.com/transformerlab/galleries

Galleries for Models, Datasets, and Plugins used by Transformer Lab

VSCode Jupyter

🔧🔗https://github.com/microsoft/vscode-jupyter

VS Code Jupyter extension

Ai Engineering Hub

🔧🔗https://github.com/patchy631/ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

🔧🔗https://github.com/poloclub/wizmap

Explore and interpret large embeddings in your browser with interactive visualization! 📍

https://github.com/mlc-ai/mlc-assistant Chat with your documents and improve your writing using large-language models within your browser.

🔧🔗https://github.com/poloclub/webshap

JavaScript library to explain any machine learning models anywhere!

https://github.com/Stability-AI/StableStudio Community interface for generative AI