A toolkit for developing foundation models using Electronic Health Record (EHR) data.
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Updated
May 28, 2024 - Python
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
Production-ready data processing made easy and shareable
Foundation model benchmarking tool. Run any model on Amazon SageMaker and benchmark for performance across instance type and serving stack options.
Implementation of Adaptive Machine Learning for Resource-Constrained Environments: A Comparative Study on CPU Utilization Prediction
Making large AI models cheaper, faster and more accessible
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Must-read Papers on Knowledge Editing for Large Language Models.
Papers, codes, datasets, applications, tutorials.
Evaluation framework for oncology foundation models (FMs)
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Tokenize Anything via Prompting
Investigation of the capabilities of foundations models in the context of time series forecasting
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
SaprotHub: Making Protein Modeling Accessible to All Biologists
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
A project webpage for the EHRMamba paper.
Video Foundation Models & Data for Multimodal Understanding
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