✨✨A curated list of latest advances on Foundation Models with Federated Learning
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Updated
Jun 25, 2024 - TeX
✨✨A curated list of latest advances on Foundation Models with Federated Learning
Low-latency ONNX and TensorRT image segmentation with contrastive language-image pre-training based prompts
Helio's Summer Project
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
A curated list of foundation models for vision and language tasks
Evaluation framework for oncology foundation models (FMs)
This repository contains the python package for Helical
Must-read Papers on Knowledge Editing for Large Language Models.
Making large AI models cheaper, faster and more accessible
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
SaprotHub: Making Protein Modeling Accessible to All Biologists
A curated list of classic artificial intelligence paper
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A toolkit for developing foundation models using Electronic Health Record (EHR) data
Code and demos for contructing Data-Driven Digital Twins of Photovoltaic & Advanced Manufacturing systems
Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.
EfficientSAM for Osam.
Images to inference with no labeling (use foundation models to train supervised models).
Core functionality for Osam.
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