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Easy way to turn any app into searchable data for LLMs.

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 analytics reporting and publishing tool for Digital Analytics Program's Google Analytics 360 data.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.

Platform for Production Data Science.

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.

) - A fast web client boilerplate written in C# / Blazor, that uses an in-browser SQLite database.

) - An efficient, scalable, and deduplicated local blob storage that maintains metadata in SQLite. Fully compatible with Blossom, it gives developers a reliable database option for building their own Blossom servers.

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.

bulk-downloader-for-reddit helps export or download comments, posts, media, or discussion data from online platforms.

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

Chiasmodon is an OSINT tool designed to assist in the process of gathering information about a target domain. Its primary functionality revolves around searching for domain-related data, including domain emails, domain credentials, CIDRs , ASNs , and subdomains, the tool also allows users to search Google Play application ID.

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

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

Open source OSINT tool for collecting public information from phone numbers and related online identifiers.

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

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

Open source web crawler built for extracting clean website data for AI and LLM workflows.

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