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University of Minnesota - Twin Cities
- Minneapolis, MN, United States
Stars
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…
Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports
Minimal RNN classifier with self-attention in Pytorch
We provide the annotations for the HPV vaccine Twitter corpus that was used in "Use of deep learning to analyze Social Media discussions about the Human Papillomavirus Vaccine", as well as a Python…
Collection of common code that's shared among different research projects in FAIR computer vision team.
General technology for enabling AI capabilities w/ LLMs and MLLMs
A playbook for systematically maximizing the performance of deep learning models.
This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.