EasyTPP: Towards Open Benchmarking Temporal Point Processes

A collection of ETLs from common data formats to Medical Event Data Standard

A simple set of MEDS polars-based ETL and transformation functions

The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization

[NeurIPS 2023 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

Experiments to reproduce results in Interventional Causal Representation Learning.

disentanglement_lib is an open-source library for research on learning disentangled representations.

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

DomainBed is a suite to test domain generalization algorithms

A Comparative Framework for Multimodal Recommender Systems

💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

Causal Inference

➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)

A complete computer science study plan to become a software engineer.