neural-network-architectures

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Here are 37 public repositories matching this topic...

carlosholivan / DeepLearningMusicGeneration

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State of the Art of Music Generation with Deep Learning and AI

deep-learning music-generation mir neural-network-architectures music-generation-deep-learning

Updated Mar 16, 2023

pouyaardehkhani / ActTensor

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ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani

Updated May 4, 2024
Python

Sanghyun-Hong / DeepRecon

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[arXiv'18] Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

deep-learning security-vulnerability side-channel-attacks neural-network-architectures

Updated Feb 19, 2020
Python

RayXie29 / Keras-famous_CNN

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This repository is the implementation of several famous convolution neural network architecture with Keras. (Resnet v1, Resnet v2, Inception v1/GoogLeNet, Inception v2, Inception v3))

deep-neural-networks deep-learning keras resnet convolutional-neural-networks inception inceptionv3 googlenet maching-learning inceptionv2 neural-network-architectures

Updated Aug 11, 2019
Python

X-rayLaser / keras-cnn-1drnn-ctc

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A toolkit for training CNN-1DRNN-CTC model to perform line-level Handwritten Text Recognition

machine-learning ai deep-learning toolkit tensorflow keras recurrent-neural-networks lstm neural-networks htr handwriting-recognition paper-implementations ctc-loss neural-network-architectures conv-lstm

Updated Apr 19, 2020
Python

jonzia / NeuralNetStudio

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Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).

gui matlab recurrent-networks hyperparameter-optimization rnn hyperparameter-tuning parallel-processing hyperparameter-search neural-network-architectures

Updated Dec 29, 2021
MATLAB

yuvalailer / nnplot

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📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights

visualization neural-network neural-networks pruning keras-neural-networks keras-visualization visualization-tools explainable-artificial-intelligence neural-network-python explainable-ai explainable-ml xai neural-network-architectures weights-visualization explainable xai-library explainable-deepneuralnetwork

Updated Dec 24, 2019
Python

BaseMax / PredictionWikipediaMathematicsVisitsResearch

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Improving Prediction of Daily Visits of Wikipedia Mathematics Topics using Graph Neural Networks

python research neural-network article wikipedia cuda torch pytorch neural-networks neural-network-example neural-network-tutorials neural-network-architectures graph-neural-networks convgru graph-neural-network gconvgru

Updated May 14, 2022
Python

Irlll / neural-network-backpropagation-from-scratch-code-for-detecting-potential-obesity-

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Step by Step Math Behind Multilayer Perceptron Neural Networks Backpropagation with Manual Code Python and Excel For Detecting Potential Obesity

neural-network backpropagation neural-network-python neural-network-architectures backpropagation-neural-network neural-network-from-scratch step-by-step-backpropagation math-behind-backpropagation backpropagation-python backpropagation-manual-code backpropagation-excel backpropagation-indonesia

Updated Sep 19, 2022
Python

SegwangKim / neural-seq2grid-module

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AAAI 2021. Neural Sequence-to-grid Module for Learning Symbolic Rules

natural-language-processing neural-network-architectures out-of-distribution

Updated Jan 15, 2021
Python

kengz / torcharc

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TorchArc: Build PyTorch networks by specifying architectures.

deep-learning neural-network pytorch dag neural-architectures neural-network-architectures perceiver perceiverio

Updated Sep 28, 2023
Python

Navy10021 / Harbor_Logistics_prediction

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Transformers-based Neural Network harbor logistic prediction model

deep-learning time-series-prediction neural-network-architectures bigdata-analysis transformers-models

Updated Aug 2, 2023
Python

sushantMoon / isi-nna

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Neural Network Architcture | ISI Kolkata

numpy cnn lstm rnn convolution perceptron pcan sparse-autoencoder neural-network-architectures

Updated Feb 3, 2020
Jupyter Notebook

shahab-ghafoor / Siamese-Network-with-Triplet-Loss-in-Keras

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The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.

mnist-dataset triplet-loss neural-network-architectures siamese-networks image-representation-learning-mnist-dataset deep-learning-with-keras

Updated Feb 24, 2024
Jupyter Notebook

kplachkov / Deep-Learning

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Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.