A comprehensive toolkit and benchmark for tabular data learning, featuring 30 deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

📄 A curated list of awesome .cursorrules files

An index of algorithms for learning causality with data

Let your Claude able to think

该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Here is a list of papers related to causal reinforcement learning, and I hope you can submit relevant missing papers in the issue.

关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结

We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

Uplift modeling and causal inference with machine learning algorithms

A curated list of causal inference libraries, resources, and applications.

Repository with code and slides for a tutorial on causal inference.

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

Causal Inference II Mixtape Session taught by Scott Cunningham

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

因果推理&AB实验相关论文小书库

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.

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

One day course on causal inference, MPI-EVA 9 September 2021

Machine Learning and Causal Inference taught by Brigham Frandsen

Drawing graphical models for causal inference using LaTeX

This repository contains the official implementation of "A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data" (under review). You can use this codebase to replicate our experiments a…

【LLMs九层妖塔】分享 LLMs在自然语言处理（ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等 实战与经验。

Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个

Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"

嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板

OpenGPTs- Powerful GPTs Colipot | 强大的gpts浏览器插件|多窗口|批量对话|chatgpt3.5|chatgpt4.0