🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

The official Python library for the OpenAI API

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

Bayesian Modeling and Probabilistic Programming in Python

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🦜🔗 Build context-aware reasoning applications

Calculator to define runtime of experiments

Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with comma…

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

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

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Statistical Rethinking course and book package

Statistical Rethinking course winter 2022

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Statistical Rethinking Course for Jan-Mar 2023