SwarmUI
mcmonkeyprojects
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibi…
OPENAGENTSKILL / DIRECTORY
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mcmonkeyprojects
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibi…
limix-ldm-ai
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505
ChenLiu-1996
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
Trusted-AI
Interpretability and explainability of data and machine learning models
meta-pytorch
A lightweight library for PyTorch training tools and utilities
shap
A game theoretic approach to explain the output of any machine learning model.
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
fivetran
Always know what to expect from your data.
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
interpretml
Fit interpretable models. Explain blackbox machine learning.
py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…