Awesome multi-modal large language paper/project, collections of popular training strategies, e.g., PEFT, LoRA.
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Updated
Mar 31, 2024
Awesome multi-modal large language paper/project, collections of popular training strategies, e.g., PEFT, LoRA.
Gitana SDK
Decoding the Learned Features of Masked Autoencoders in Semantic Segmentation Tasks
This repository contains the python package for Helical
Using an LLM to discover the genetic causes of rare disease
Fine-tuning foundation model for severe weather event prediction in the U.S. with 3-6 months of lead time
Official implementation of ICLR 2024 paper "Contrastive Learning Is Spectral Clustering On Similarity Graph" (https://arxiv.org/abs/2303.15103)
Solution for NeurIPS 2023 - MedFM Challenge
Open-Source Python Software for Functional MRI Analysis
Implementation of Adaptive Machine Learning for Resource-Constrained Environments: A Comparative Study on CPU Utilization Prediction
Official repository for my MSc thesis: "Addressing Goal Misgeneralization with Natural Language Interfaces."
Projects and summaries for the Machine Learning [PPGEEC2318] course at UFRN, taught by Professor Ivanovitch Silva.
Awesome Semantic Textual Similarity: a curated list of Semantic Textual Similarity in Large Language Models and NLP
Using Deep Learning for Natural Language Processing
Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"
Investigation of the capabilities of foundations models in the context of time series forecasting
This repository was commited under the action of executing important tasks on which modern Generative AI concepts are laid on. In particular, we focussed on three coding actions of Large Language Models. Extra and necessary details are given in the README.md file.
A comprehensive paper list of Transformer & Attention for Vision Recognition / Foundation Model, including papers, codes, and related websites.
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
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