M

Machine Learning

🔧🔗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/galleries

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

🔧🔗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/

https://github.com/roboflow/inference A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

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/transformerlab-docs

Public Documentation for 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/Stability-AI/StableStudio Community interface for generative AI