Showing 81-100 of 116 projects
A repository for replicating simple computer vision projects including attention, classification, detection, and more.
A curated list of attention modules and plug-and-play modules for computer vision in Python.
PyTorch implementation and explanation of popular graph representation learning papers.
Multimodal AI toolkit for fast content understanding and generation across text, images, and video
Sockeye is a PyTorch-based sequence-to-sequence framework for neural machine translation tasks.
A Python library implementing various self-attention mechanisms for computer vision tasks.
A heterogeneous graph neural network library for advanced graph representation learning.
An open-source 3D generation model that uses Spatial Sparse Attention for efficient and scalable 3D creation.
A Python library that speeds up inference for large language models by up to 10x with dynamic sparse attention
A PyTorch library for building Single Headed Attention RNNs, a novel type of neural network for AI applications.
An implementation of the Attention Is All You Need paper, built with PyTorch and Jupyter Notebooks.
A transformer-based model for neighborhood attention, useful for computer vision tasks.
FateZero is a video editing tool that uses AI-powered text-driven video editing and style transfer.
A knowledge graph attention network for building explainable recommendation systems.
Helpful tools and examples for working with flex-attention in PyTorch
A deep learning library for EEG tasks classification, built with TensorFlow.
A curated list of NLP resources focused on Transformer networks, attention mechanism, and large language models.
Code for a CVPR2021 paper on coordinate attention, a technique for improving neural network performance.
Attention-based OCR library for building vision AI apps that extract text from images.
Source code for a research paper exploring the relationship between self-attention and convolutional layers.
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