Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
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Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
Integrate with providers using LangChain Python.
Provides a central interface to connect your LLM's with external data.
LlamaIndex is a data framework for your LLM applications.
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
An open dataset with 30 trillion tokens for training Large Language Models.
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
AI Jukebox supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A comprehensive set of fairness metrics for datasets and machine learning models.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Platform for Production Data Science.
One API key, 63 AI agent tools: web search, scraping, AI generation, OCR, crypto data. LangChain + MCP ready. Pay per call with credits or x402/USDC.
Machine Learning and Data Mining for Astronomy.
Scripts to generate a dataset with static frames from the Arcade Learning Environment.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
Awesome AI Web Search supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
CLIP Interrogator supports machine learning models, deployment, inspection, datasets, or AI development workflows.