DSPydantic: Auto-Optimize Your Prompts and Pydantic Models with DSPy

A practical tool for managing async pipelines

A lightweight library that orchestrates LLM completions and agents in parallel workflows

Phare is a LLM benchmark that evaluates models across key AI security & safety dimensions

Giskard LLM utils

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…

Setup guide for NextDNS, a DoH proxy with advanced capabilities

📸 Open-Source Evaluation & Testing for Computer Vision AI systems

Open Public Domain Exercise Dataset in JSON format

Awesome freelance tools

📚 A curated list of papers & technical articles on AI Quality & Safety

A dataset featuring diverse dialogues between two ChatGPT (gpt-3.5-turbo) instances with system messages written by GPT-4. Covering various contexts and tasks (task-oriented dialogue systems, abstr…

Mobile first Note Taking integrated with Git

🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

Reverse engineered ChatGPT API

Next generation frontend tooling. It's fast!

Bitcoin Core integration/staging tree

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

An open-source cross-platform alternative to AirDrop

Design patterns implemented in Java

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

An opinionated list of awesome Python frameworks, libraries, software and resources.

😎 Awesome lists about all kinds of interesting topics

machine learning and deep learning tutorials, articles and other resources

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning