ys-zong

awesome-self-supervised-multimodal-learning

A curated list of self-supervised multimodal learning resources.

MEDFAIR

[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging

VLGuard

[ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.

conST

conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics

VL-ICL

Code for paper: VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning

FoolyourVLLMs

[ICML 2024] Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations

fpga-camera

camera OV2640 on FPGA Nexys4

FPGA-CPU54

MIPS CPU on FPGA Nexys4 (54 intrs)

FPGA-CPU

MIPS cpu on FPGA Nexys4 (31 instrs )

kubejobs-dev

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning