cnns
There are 112 repositories under cnns topic.
antialiased-cnns
pip install antialiased-cnns to improve stability and accuracy
e2cnn
E(2)-Equivariant CNNs Library for Pytorch
pytorch-attention
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
ResNetCAM-keras
Keras implementation of a ResNet-CAM model
dilated-cnn-ner
Dilated CNNs for NER in TensorFlow
EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
stanford-cs231n-assignments-2020
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
CNN-Inference-Engine-Quick-View
A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
Orthogonality-in-CNNs
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
crnn-lid
Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks
wavelet_networks
Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
see-inside-cnn
Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
basic_NNs_in_frameworks
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
FRVSR-GAN
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
att_gconvs
Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
cnn_txf_bias
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
RAFT-NCUP
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
keras-xla-benchmarks
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
dl4phys
Deep learning for particle physicists
glaucoma-detector
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.
regression-in-CNNs-applied-to-plant-leaf-count
Regression in Convolutional Neural Network applied to Plant Leaf Count
bandlimited-cnns
Band-limited Training and Inference for Convolutional Neural Networks
Ensembling-LeNet-with-LSTM-for-Time-Series-Predictions
LeNet as a Feature Engineer-> LSTM for timeseries predicitions
Derain_OUCD_Net
Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP
core
AI@UCF's custom-made course, organized by semesters
LeNet-CNN-Accelerator-Hardware-for-FPGA
An open source Verilog Based LeNet-1 Parallel CNNs Accelerator for FPGAs in Vivado 2017
Ner-BiLSTM-CNNs
Named Entity Recognition with Bidirectional LSTM-CNNs
Real_Complex_Classification
Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification
keras-convnext-conversion
ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.
MIBCI-QCNNs
This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.
LinearConv
Code for our WACV 2021 paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction"
Coursera-Deep-Learning-Specialization
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..
Tensorflow-for-Deep-Learning-Udacity
Introduction to Deep Learning with TensorFlow by Udacity
sound_classification_ml_production
In this repository you will find an end to end hands-on tutorial of an example of machine learning in production. The objective will be to create and deploy in the cloud a machine learning application able to recognize and classify different audio sounds.
CNN-from-Scratch
Implementation of CNN (Convolutional neural network) from scratch