cnns

There are 1 repository under cnns topic.

amanchadha / 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; (v) Sequence Models
deep-learning coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks rnns convolutional-neural-network recurrent-neural-network hyperparameter-optimization hyperparameter-tuning neural-network neural-networks neural-machine-translation neural-style-transfer regularization
Language:Jupyter Notebook 3967
adobe / antialiased-cnns
pip install antialiased-cnns to improve stability and accuracy
antialiasing artificial-intelligence cnns computer-vision convolutional-neural-networks icml icml-2019 shift-equivariant shift-invariant
Language:Python 1679
QUVA-Lab / e2cnn
E(2)-Equivariant CNNs Library for Pytorch
cnns equivariance equivariant-network group-convolution pytorch
Language:Python 636
changzy00 / pytorch-attention
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
attention-mechanisms cnns mlp-networks pytorch-implementation vits
Language:Python 504
ModernConvNets
Nyandwi / ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
convnets deep-learning-algorithms computer-vision tensorflow keras convolutional-neural-networks neural-networks image-classification cnns
Language:Jupyter Notebook 350
alexisbcook / ResNetCAM-keras
Keras implementation of a ResNet-CAM model
keras cnn resnet-50 resnet localization cnn-keras cnn-model cnns localisation image-analysis classification image-classification keras-neural-networks keras-tensorflow keras-visualization keras-models keras-classification-models
Language:Python 280
iesl / dilated-cnn-ner
Dilated CNNs for NER in TensorFlow
neural-networks tensorflow cnns named-entity-recognition natural-language-processing machine-learning
Language:Python 242
SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
eeg-data motor-imagery-tasks cnns convolutional-neural-networks esi tensorflow python eeg eeg-signals eeg-analysis eeg-classification motor-imagery motor-imagery-classification motor-imagery-training brain-com brain-computer-interface matlab tensorflow-models tensorflow-experiments
Language:Python 229
amanchadha / stanford-cs231n-assignments-2020
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
attention-mechanism captioning-images cnns computer-vision convolutional-neural-networks cs231 cs231n cs231n-assignment deep-learning deep-neural-networks image-processing neural-network recurrent-neural-networks rnns stanford stanford-machine-learning vision-and-language
Language:Jupyter Notebook 175
CAS-CLab / CNN-Inference-Engine-Quick-View
A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
ai-benchmarks cnn cnn-inference-engine cnns inference-engine inference-engines speed-benchmarks
150
VITA-Group / Orthogonality-in-CNNs
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
cnns computer-vision deep-learning orthogonal
Language:Python 129
HPI-DeepLearning / crnn-lid
Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks
language-identification deep-learning computer-vision cnns keras
Language:Python 105
dwromero / wavelet_networks
Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
equivariance group-convolution cnns time-series pytorch
Language:Jupyter Notebook 81
IbrahimSobh / see-inside-cnn
Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
saliency-maps grad-cam-visualization visualization-methods deep-networks convolution-layer cnns
Language:Jupyter Notebook 74
amanchadha / FRVSR-GAN
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
adjacent-frames cnn cnns convolutional-neural-networks frame-recurrence frvsr-gan gan gans generative-adversarial-network opencv psnr python python3 pytorch recurrent-neural-network sisr srgan ssim super-resolution video-super-resolution
Language:Python 69
scofield7419 / basic_NNs_in_frameworks
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
mlp autoencoder cnns recurrentnn recursivenn tensorflow pytorch theano keras
Language:Python 64
dwromero / att_gconvs
Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
equivariance group-convolution cnns attention pytorch
Language:Python 50
shikhartuli / cnn_txf_bias
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
cnns transformers inductive-biases
Language:Jupyter Notebook 43
abdo-eldesokey / RAFT-NCUP
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
optical-flow cnns pytorch upsampling interpolation interpolation-methods
Language:Python 41
sayakpaul / keras-xla-benchmarks
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
cnns keras keras-cv tensorflow tensorflow-hub transformers xla benchmarks
Language:Jupyter Notebook 37
lewtun / dl4phys
Deep learning for particle physicists
deep-learning particle-physics transformers cnns
Language:Jupyter Notebook 28
golden-panther / 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.
glaucoma glaucoma-detector fundus-images eye cnns tensorflow keras neural-networks binary-classification image-classification streamlit python computer-vision deeplearning machine-learning cnn-architecture convolutional-neural-networks
Language:Python 21
adam-dziedzic / bandlimited-cnns
Band-limited Training and Inference for Convolutional Neural Networks
cnns convolution fft convolutional-neural-networks python pytorch cuda neural-network compression
Language:Jupyter Notebook 20
neemiasbsilva / regression-in-CNNs-applied-to-plant-leaf-count
Regression in Convolutional Neural Network applied to Plant Leaf Count
plant-leaf-counting plant-phenotyping cnns convolutional-neural-networks regression computer-vision deep-neural-networks deep-learning data-science data-engineering xception-model inception-resnet-v2 resnet-50 nasnet-models deep-learning-api count tensorflow dataset cvppp plant-phenotypes
Language:Jupyter Notebook 19
hazooree / LeNet-CNN-Accelerator-Hardware-for-FPGA
An open source Verilog Based LeNet-1 Parallel CNNs Accelerator for FPGAs in Vivado 2017
verilog lenet handwritten-digit-recognition fpga cnn cnns acceleration
Language:Jupyter Notebook 18
Moe-Zbeeb / Ensembling-LeNet-with-LSTM-for-Time-Series-Predictions
LeNet as a Feature Engineer-> LSTM for timeseries predicitions
cnns ensembling-methods lstm-neural-networks stocks timeseries
Language:Jupyter Notebook 17
jeya-maria-jose / Derain_OUCD_Net
Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP
pytorch deraining restoration cnns image-restoration deep-learning deep-neural-networks
Language:Python 15
MIBCI-QCNNs
eneriz-daniel / 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.
bci motor-imagery eeg eegnet hls qcnns cnns
Language:Jupyter Notebook 13
ThanhChinhBK / Ner-BiLSTM-CNNs
Named Entity Recognition with Bidirectional LSTM-CNNs
ner bi-lstm cnns
Language:Jupyter Notebook 13
ucfai / core
AI@UCF's custom-made course, organized by semesters
machine-learning data-science kaggle neural-networks convolutional-neural-networks pytorch recurrent-neural-networks rnns cnns anns computer-vision classification gans
Language:Jupyter Notebook 13
mqalkhatib / Real_Complex_Classification
Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification
cnns fourier keras python cvnns tensorflow
Language:Python 12
kkahatapitiya / LinearConv
Code for our WACV 2021 paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction"
redundancy correlation neural-network-compression deep-learning parameter-reduction cnns
Language:Python 10
sayakpaul / keras-convnext-conversion
ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.
cnns convnext deep-learning image-recognition keras
Language:Python 10
sound_classification_ml_production
jsalbert / 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.
cnns colab convolutional-neural-networks data-exploration data-science deep-learning docker flask keras machine-learning tensorflow tutorial urbansound8k urbansound8k-dataset
Language:Jupyter Notebook 9
abbasmzs / 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..
andrew-ng andrew-ng-course cnns convolutional-neural-networks coursera coursera-machine-learning coursera-specialization deep-learning hyperparameter-optimization hyperparameter-tuning machine-learning-algorithms neural-machine-translation neural-network neural-networks recurrent-neural-networks regularization rnns
Language:Jupyter Notebook 8
FaisalAhmedBijoy / Tensorflow-for-Deep-Learning-Udacity
Introduction to Deep Learning with TensorFlow by Udacity
deep-learning tensorflow udacity cnns nlp keras-tensorflow image-classification computer-vision
Language:Jupyter Notebook 8

cnns

amanchadha / coursera-deep-learning-specialization

adobe / antialiased-cnns

QUVA-Lab / e2cnn

changzy00 / pytorch-attention

Nyandwi / ModernConvNets

alexisbcook / ResNetCAM-keras

iesl / dilated-cnn-ner

SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow

amanchadha / stanford-cs231n-assignments-2020

CAS-CLab / CNN-Inference-Engine-Quick-View

VITA-Group / Orthogonality-in-CNNs

HPI-DeepLearning / crnn-lid

dwromero / wavelet_networks

IbrahimSobh / see-inside-cnn

amanchadha / FRVSR-GAN

scofield7419 / basic_NNs_in_frameworks

dwromero / att_gconvs

shikhartuli / cnn_txf_bias

abdo-eldesokey / RAFT-NCUP

sayakpaul / keras-xla-benchmarks

lewtun / dl4phys

golden-panther / glaucoma-detector

adam-dziedzic / bandlimited-cnns

neemiasbsilva / regression-in-CNNs-applied-to-plant-leaf-count

hazooree / LeNet-CNN-Accelerator-Hardware-for-FPGA

Moe-Zbeeb / Ensembling-LeNet-with-LSTM-for-Time-Series-Predictions

jeya-maria-jose / Derain_OUCD_Net

eneriz-daniel / MIBCI-QCNNs

ThanhChinhBK / Ner-BiLSTM-CNNs

ucfai / core

mqalkhatib / Real_Complex_Classification

kkahatapitiya / LinearConv

sayakpaul / keras-convnext-conversion

jsalbert / sound_classification_ml_production

abbasmzs / Coursera-Deep-Learning-Specialization

FaisalAhmedBijoy / Tensorflow-for-Deep-Learning-Udacity