推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

DSPy: The framework for programming—not prompting—language models

The Memory layer for AI Agents

Large-scale LLM inference engine

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Supercharge Your LLM Application Evaluations 🚀

The easiest way to get started with LlamaIndex

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

A library to generate synthetic time series data by easy-to-use factors and generator

Easy and intuitive generation of synthetic timeseries for Python.

A Multipurpose Library for Synthetic Time Series Generation in Python

An R package for causal inference in time series

Generate Diverse Counterfactual Explanations for any machine learning model.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

Trustworthy AI related projects

Example causal datasets with consistent formatting and ground truth

30 Semi-Supervised Learning Algorithms

A list of Graph Causal Learning materials.

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Fit Sparse Synthetic Control Models in Python

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

A Python package for causal inference in quasi-experimental settings

教材 Causal Inference: What if 的编译和解读！