DAGs with NO TEARS: Continuous Optimization for Structure Learning

VRAM Calculator is a free and open-source tool designed to help researchers, developers, and enthusiasts estimate the VRAM requirements for running Large Language Models (LLMs).

LLMs GPU VRAM Requirements Calculator

This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-based Reasoning MLLMs!

Tabular Deep Learning Library for PyTorch

将微信读书划线同步到Notion

This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic p…

The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports and statements. This repo provides the code for…

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

A versatile toolkit for applying Logit Lens to modern large language models (LLMs). Currently supports Llama-3.1-8B and Qwen-2.5-7B, enabling layer-wise analysis of hidden states and predictions.

Unleash Next-Level AI! 🚀 💻 Code Generation: DeepSeek r1 + Claude 3.7 Sonnet - Unparalleled Performance! 📝 Content Creation: DeepSeek r1 + Gemini 2.5 Pro - Superior Quality! 🔌 OpenAI-Compatible. 🌊 S…

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.