为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

A hyperparameter optimization framework

Uplift modeling and causal inference with machine learning algorithms

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

Pytorch implementation of cnn network

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

论文XMind笔记生成工具，将论文pdf通过ChatGPT转换为带有图片和公式的简要XMind笔记，提高论文阅读效率。

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

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

(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

Experiments to reproduce results in Interventional Causal Representation Learning.

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

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…

An XGBoost-based Financial statement fraud (FSF) detection approach