AI Agent Skills

Image Deblurring using Generative Adversarial Networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CG…

Graph Neural Networks in Julia

timctho/convolutional-pose-machines-tensorflow is a high-star GitHub project relevant to AI agent workflows.

Introducing neural networks to predict stock prices

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

A simple interface for editing natural photos with generative neural networks.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Convolutional Neural Network for 3D meshes in PyTorch

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation…

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in…

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs