Capsule Networks
gram-ai
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
OPENAGENTSKILL / DIRECTORY
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gram-ai
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
xiaoyufenfei
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CG…
K-Dense-AI
Query the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene…
aiff22
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
lucidrains
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
huggingface
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
amanchadha
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in…
lucidrains
Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch
junyanz
Interactive Image Generation via Generative Adversarial Networks
POSTECH-CVLab
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
KupynOrest
Image Deblurring using Generative Adversarial Networks
ajbrock
A simple interface for editing natural photos with generative neural networks.
gboeing
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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