neural-network-architectures

Here are 19 public repositories matching this topic...

pouyaardehkhani / ActTensor

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

Updated Jun 11, 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

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

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

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
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fmenat / optimal-multiview-crop-classifier

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Public repository of our JAG paper

deep-learning sensor-fusion multi-view-learning neural-network-architectures cropland-mapping crop-classification multi-modal-learning

Updated Sep 10, 2025
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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
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kengz / torcharc

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TorchArc: Build PyTorch models by specifying architectures.

yaml deep-learning neural-network torch pytorch neural-network-architectures model-generation

Updated Jan 12, 2025
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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 Mar 20, 2025
Python

FardinHash / NeuralNetwork-Architechtures-Implementation

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Many Neural Network architectures are there. Basically Keras applications. You can find here the structures, implementations all you need. Have fun!

machine-learning deep-learning neural-network keras nn cnn convolutional-neural-networks keras-neural-networks neuralnetwork neural-network-architectures keras-application

Updated Jan 18, 2023
Python

eren23 / nn-architecture-examples

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A small collection of basic neural networks for different tasks using pytorch.

deep-neural-networks neural-network pytorch neural-networks neural-network-example neural-network-tutorials neural-network-architectures neural-networks-from-scratch pytorch-implementation

Updated Jul 2, 2023
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NatLee / On-the-Role-of-Text-Preprocessing-in-Neural-Network-Architectures-For-IMDB

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Unofficial code with the paper "On the Role of Text Preprocessing in Neural Network Architectures" for IMDb dataset.

paper embeddings unofficial imdb-dataset neural-network-architectures text-preprocessing

Updated May 8, 2019
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777Denoiser / ScaleWeaver-Adaptive-Multiscale-Network-of-Networks-Fabricator

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High-fidelity artificial NoN (Network of Networks) generator

Updated Feb 21, 2025
Python

sahajrajmalla / Quantum-Neural-Networks-Binary-Classification

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Code, logs, results, and models for the paper "Quantum Neural Networks for Binary Classification: Evaluating Feedforward and Back Propagation Architectures." Implements QFNN and QBPNN using PennyLane, evaluated on six datasets.

machine-learning quantum-computing neural-networks binary-classification quantum-machine-learning neural-network-architectures quantum-neural-networks