Interactive graph visualizations with Python and HTML/CSS/JS.

A Python package for modular causal inference analysis and model evaluations

Deep universal probabilistic programming with Python and PyTorch

An experimental language for causal reasoning

❓y0 (pronounced "why not?") is for causal inference in Python

Data augmentation for NLP

library supporting NLP and CV research on scientific papers

Rapid fuzzy string matching in Python using various string metrics

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Fast, flexible tools to simplify scientific Python

Data from the caption contest.

Free MLOps course from DataTalks.Club

🦜🔗 Build context-aware reasoning applications

A collection of best practices for data science

ML Ops learning

kaldi-asr/kaldi is the official location of the Kaldi project.

Lightning ⚡️ fast forecasting with statistical and econometric models.

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

Low-code framework for building custom LLMs, neural networks, and other AI models

A Unified Toolkit for Deep Learning Based Document Image Analysis

a Knowledgeable Stylized Integrated Text Generation Platform

The fastai deep learning library

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Database Reasoning Over Text project for ACL paper

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…