pip install antialiased-cnns to improve stability and accuracy
-
Updated
Apr 8, 2024 - Python
pip install antialiased-cnns to improve stability and accuracy
E(2)-Equivariant CNNs Library for Pytorch
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
Keras implementation of a ResNet-CAM model
Dilated CNNs for NER in TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
Glaucoma detection automation project. Trained a binary image classifier using CNNs and deployed as a streamlit web app. It takes eye (retinal scan) image as input and outputs whether the person is affected by glaucoma or not.
Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP
ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.
Code for our WACV 2021 paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction"
Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)
Learning mappings to generate city maps images from corresponding satellite images.
Add a description, image, and links to the cnns topic page so that developers can more easily learn about it.
To associate your repository with the cnns topic, visit your repo's landing page and select "manage topics."