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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 Network…

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization

Updated Apr 13, 2024
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adobe / antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

computer-vision artificial-intelligence convolutional-neural-networks antialiasing icml cnns shift-invariant shift-equivariant icml-2019

Updated Apr 8, 2024
Python

QUVA-Lab / e2cnn

E(2)-Equivariant CNNs Library for Pytorch

pytorch cnns group-convolution equivariance equivariant-network

Updated Oct 17, 2023
Python

changzy00 / pytorch-attention

🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥

cnns attention-mechanisms mlp-networks pytorch-implementation vits

Updated Jan 11, 2024
Python

ModernConvNets

Nyandwi / ModernConvNets

Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras

computer-vision tensorflow keras neural-networks deep-learning-algorithms image-classification convolutional-neural-networks cnns convnets

Updated Oct 5, 2022
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alexisbcook / ResNetCAM-keras

Keras implementation of a ResNet-CAM model

localization keras localisation cnn classification image-classification resnet image-analysis keras-models keras-classification-models keras-neural-networks cnn-keras cnn-model keras-visualization keras-tensorflow resnet-50 cnns

Updated Feb 1, 2018
Python

iesl / dilated-cnn-ner

Dilated CNNs for NER in TensorFlow

machine-learning natural-language-processing tensorflow named-entity-recognition neural-networks cnns

Updated Mar 9, 2019
Python

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

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

python tensorflow matlab eeg eeg-signals esi tensorflow-experiments convolutional-neural-networks eeg-data brain-computer-interface motor-imagery-classification tensorflow-models motor-imagery-training cnns eeg-analysis motor-imagery eeg-classification brain-com motor-imagery-tasks

Updated May 20, 2024
Python

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).

deep-neural-networks computer-vision deep-learning neural-network image-processing recurrent-neural-networks stanford convolutional-neural-networks attention-mechanism cs231n captioning-images stanford-machine-learning cnns rnns cs231n-assignment vision-and-language cs231

Updated Jul 11, 2021
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CAS-CLab / CNN-Inference-Engine-Quick-View

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

cnn inference-engine cnns inference-engines cnn-inference-engine ai-benchmarks speed-benchmarks

Updated Jun 13, 2022

VITA-Group / Orthogonality-in-CNNs

[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.

computer-vision deep-learning cnns orthogonal

Updated Dec 31, 2021
Python

HPI-DeepLearning / crnn-lid

Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks

computer-vision deep-learning keras language-identification cnns

Updated Apr 11, 2018
Python

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

time-series pytorch cnns group-convolution equivariance

Updated Jan 21, 2024
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IbrahimSobh / see-inside-cnn

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

deep-networks cnns saliency-maps convolution-layer grad-cam-visualization visualization-methods

Updated May 17, 2020
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scofield7419 / basic_NNs_in_frameworks

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

theano tensorflow keras pytorch autoencoder mlp cnns recurrentnn recursivenn

Updated Oct 9, 2022
Python

amanchadha / FRVSR-GAN

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

Updated Jun 21, 2022
Python

dwromero / att_gconvs

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

pytorch attention cnns group-convolution equivariance

Updated Jul 7, 2020
Python

shikhartuli / cnn_txf_bias

[CogSci'21] Study of human inductive biases in CNNs and Transformers.

transformers cnns inductive-biases

Updated May 18, 2021
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abdo-eldesokey / RAFT-NCUP

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

interpolation pytorch optical-flow upsampling cnns interpolation-methods

Updated Feb 19, 2021
Python

sayakpaul / keras-xla-benchmarks

Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.

tensorflow keras transformers benchmarks cnns tensorflow-hub xla keras-cv

Updated Aug 27, 2023
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