Stars
Drawing graphical models for causal inference using LaTeX
Decision Transformer JAX - Reproduction of 'Decision Transformer: Reinforcement Learning via Sequence Modeling' in JAX and Haiku
A reading list for papers on causality for natural language processing (NLP)
A collection of research materials on explainable AI/ML
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
A companion for the Causal Artificial Intelligence book.
[NeurIPS'24] Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
VIP cheatsheets for Stanford's CS 229 Machine Learning
Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A curated list of resources for using LLMs to develop more competitive grant applications.
Mastering Diverse Domains through World Models
🔥Highlighting the top ML papers every week.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)
Official Repository of "Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network" (ICML 2024)
[WACV 2025] Official Pytorch code for "Background-aware Moment Detection for Video Moment Retrieval"
[EMNLP 2022] Official Pytorch code for "Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval"