jameszhou-gl

gpt-4v-distribution-shift

Code for ICLR'24 workshop ME-FoMo-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"

CBRE

Code for SDM'22-Cycle-Balanced Representation Learning For Counterfactual Inference

ML_Python

机器学习算法的Python实现

TMM-HCVP

Code for TMM-HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization

Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference

Causal Inference

ALT

Bound-Confounded-Causal-Effects

CausalRepID

Experiments to reproduce results in Interventional Causal Representation Learning.

cfrnet

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.

disentanglement_via_mechanism_sparsity

DomainBed

DomainBed is a suite to test domain generalization algorithms

dragonnet

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)

guanglinzhou.github.io

My Blog / Jekyll Themes / PWA

image-host

jameszhou-gl.github.io

LLaVA

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

Map-Matching-Algorithm

MetaPred

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

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".

SITE

wechat_py