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Discover 116 open source projects
Showing 61-80 of 116 projects
speedinghzl/CCNet
CCNet is a semantic segmentation library that uses Criss-Cross Attention to improve scene parsing performance.
peteanderson80/bottom-up-attention
Bottom-up attention model for image captioning and visual question answering, built on Faster R-CNN and Visual Genome.
szagoruyko/attention-transfer
Improves Convolutional Networks via Attention Transfer using PyTorch.
bojone/attention
A collection of attention-based neural network implementations in Python.
BangguWu/ECANet
Code for an efficient channel attention module for deep convolutional neural networks.
OpenImagingLab/FlashVSR
An efficient one-step diffusion framework for streaming video super-resolution with AI-powered tools.
taoxugit/AttnGAN
AttnGAN is a Python library for generating high-quality images from text descriptions using attention-based generative adversarial networks.
autonomousvision/unimatch
A unified deep learning model for correspondence, stereo, and depth estimation tasks.
dorarad/gansformer
A PyTorch library for training generative adversarial transformer models for image generation.
bloc97/CrossAttentionControl
Unofficial implementation of a Prompt-to-Prompt image editing tool using Stable Diffusion and cross-attention control.
wouterkool/attention-learn-to-route
Attention-based model for learning to solve different routing problems, useful for AI coding tools.
DirtyHarryLYL/Transformer-in-Vision
A collection of recent Transformer-based computer vision and related research papers.
google/style-aligned
Official code for a machine learning model that generates images aligned with a given style.
charlesXu86/Chatbot_CN
A chatbot framework for the finance and legal domains, with NLU, NLG, and knowledge graph capabilities.
harvardnlp/seq2seq-attn
Sequence-to-sequence model with LSTM encoder/decoders and attention for natural language processing.
benedekrozemberczki/CapsGNN
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
kyegomez/awesome-multi-agent-papers
A comprehensive collection of the best research papers on multi-agent systems and swarm intelligence.
BICLab/SpikingBrain-7B
Spiking Brain-inspired Large Models with efficient attention, MoE, and spike encoding for AI and ML developers.
luo3300612/Visualizer
A tool for visualizing attention in deep learning models, useful for AI developers building with AI tools.
ZhugeKongan/torch-template-for-deep-learning
A PyTorch template with implementations of classical CNNs, data augmentation, losses, and common ML algorithms.
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