cnns

pip install antialiased-cnns to improve stability and accuracy

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Keras implementation of a ResNet-CAM model

E(2)-Equivariant CNNs Library for Pytorch

Dilated CNNs for NER in TensorFlow

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

[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

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830

A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs

The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"

Study of human inductive biases in CNNs and Transformers.

Band-limited Training and Inference for Convolutional Neural Networks

AI@UCF's custom-made course, organized by semesters

Named Entity Recognition with Bidirectional LSTM-CNNs

Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP

Regression in Convolutional Neural Network applied to Plant Leaf Count

Using CNNs for STS Segmentation

Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)

Code for our WACV 2021 paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction"

CNNs for CIFAR10 (TensorFlow 2)

Metadata extraction in Arxiv research papers using Dilated-CNNs

Generate Designs

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.