Popular GitHub Repositories for Explanation Methods

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 ;)

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

? LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

A curated list of awesome self-supervised methods

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A collection of important graph embedding, classification and representation learning papers with implementations.

Probabilistic reasoning and statistical analysis in TensorFlow

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

Learning in infinite dimension with neural operators.

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and?code

Chess reinforcement learning by AlphaGo Zero methods.

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

? An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.