jameszhou-gl's repositories
gpt-4v-distribution-shift
Code for "How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation"
icl-distribution-shift
Code for "Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning"
CausalRepID
Experiments to reproduce results in Interventional Causal Representation Learning.
coding-interview-university
A complete computer science study plan to become a software engineer.
cornac
A Comparative Framework for Multimodal Recommender Systems
deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
DomainBed
DomainBed is a suite to test domain generalization algorithms
drnet
💉📈 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.
GIN
Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
guanglin-zhou.github.io
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
guanglinzhou.github.io
My Blog / Jekyll Themes / PWA
LLaVA
[NeurIPS 2023 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.
MetaPred
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)
OpenLearning4DeepRecsys
Some deep learning based recsys for open learning.
perfect_match
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
SAGM
The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization
ScienceQA
Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".