A set of tools and experimental scripts used to achieve multimodal learning with nonnegative matrix factorization (NMF).
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Matrix Factorization Library
Repository for Multimodal AutoML Benchmark
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
Machine learning, in numpy
LL3M: Large Language and Multi-Modal Model in Jax
Neural Collaborative Filtering
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation (MICCAI 2022)
The code for OpenmmLab challenge.
Convert ONNX models to plain C/ASM code
Code Release of F-LMM: Grounding Frozen Large Multimodal Models
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Weighted matrix factorization in Python
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hos...