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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.

Open-source project that provides AI-assisted learning, courses, tutorials, or study support.

AI Native database for embedding vectors.

Awesome AI Web Search supports machine learning models, deployment, inspection, datasets, or AI development workflows.

Curated list of Turkish AI models, datasets, papers.

Helps find, analyze or synthesize information for research and knowledge discovery.

Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

An easy-to-use feature store. Optimized for time-series data.

CLIP Interrogator supports machine learning models, deployment, inspection, datasets, or AI development workflows.

Basic functions for clustering data: k-means, dp-means, etc.

A curated list of language modeling researches for code and related datasets.

Track your datasets, code changes, experimentation history, and models.

A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.

Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.

A data orchestrator for machine learning, analytics, and ETL.

Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.