neural-network-architectures
There are 50 repositories under neural-network-architectures topic.
carlosholivan/DeepLearningMusicGeneration
State of the Art of Music Generation with Deep Learning and AI
pouyaardehkhani/ActTensor
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
Sanghyun-Hong/DeepRecon
[arXiv'18] Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
jonzia/NeuralNetStudio
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
Maryam-Nasseri/AI-concepts
AI concepts, papers, algorithms, tutorials, AI roadmap
yuvalailer/nnplot
:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights
RayXie29/Keras-famous_CNN
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))
X-rayLaser/keras-cnn-1drnn-ctc
A toolkit for training CNN-1DRNN-CTC model to perform line-level Handwritten Text Recognition
BaseMax/PredictionWikipediaMathematicsVisitsResearch
Improving Prediction of Daily Visits of Wikipedia Mathematics Topics using Graph Neural Networks
fmenat/optimal-multiview-crop-classifier
Public repository of our JAG paper
Irlll/neural-network-backpropagation-from-scratch-code-for-detecting-potential-obesity-
Step by Step Math Behind Multilayer Perceptron Neural Networks Backpropagation with Manual Code Python and Excel For Detecting Potential Obesity
kengz/torcharc
TorchArc: Build PyTorch models by specifying architectures.
SegwangKim/neural-seq2grid-module
AAAI 2021. Neural Sequence-to-grid Module for Learning Symbolic Rules
matteo-stat/multi-task-learning-object-detection-semantic-segmentation
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
Navy10021/Harbor_Logistics_prediction
Transformers-based Neural Network harbor logistic prediction model
shahab-ghafoor/Siamese-Network-with-Triplet-Loss-in-Keras
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.
FardinHash/NeuralNetwork-Architechtures-Implementation
Many Neural Network architectures are there. Basically Keras applications. You can find here the structures, implementations all you need. Have fun!
kplachkov/Deep-Learning
Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.
sushantMoon/isi-nna
Neural Network Architcture | ISI Kolkata
777Denoiser/ScaleWeaver-Adaptive-Multiscale-Network-of-Networks-Fabricator
High-fidelity artificial NoN (Network of Networks) generator
AntonStantan/matura
matura project called "Predictive Calculator". Here I investigate Neural Networks for elementary arithmetic tasks
donny-stacks/tensorflow
An Open Source Machine Learning Framework for Everyone
eren23/nn-architecture-examples
A small collection of basic neural networks for different tasks using pytorch.
Fatma-Moanes/Deep-Learning-Labs
My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.
mrodriguezsanz/DeepLearningAI-DeepLearningSpecialization
Participants in this Specialization have the opportunity to construct and train various neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers. They learn to enhance these networks with techniques such as Dropout, BatchNorm, Xavier/He initialization, among others.
NatLee/On-the-Role-of-Text-Preprocessing-in-Neural-Network-Architectures-For-IMDB
Unofficial code with the paper "On the Role of Text Preprocessing in Neural Network Architectures" for IMDb dataset.
raklugrin01/Neural-Networks-DeepLearning
Programming Assignments completed under first Course of Deep Learning Specialisation(Coursera)
sayemuzzamansiam/Play-and-Learn-Neural-Networks-with-Python
This project prove a simple gameplay system to understand Neural Network
AliKHaliliT/BResNet16D-Family
Bottleneck ResNet16 Networks with Enhanced Architecture
b1shtream/conv_differentiable_logic_gate_networks
Deploying logic gate networks on FPGAs [Implementation of Differentiable Logic Gate Networks (NeurIPS 2024)]
matteo-stat/convmixer-patches-are-all-you-need
A Keras implementation of the ConvMixer architecture from the paper "Patches are all you need?", built from scratch using TensorFlow and Python.
matteo-stat/mobilevit-a-mobile-friendly-vision-transformer
A Keras implementation of the MobileViT architectures, built from scratch using TensorFlow and Python.
AliKHaliliT/ResNet18D-Family
Custom ResNet18 Networks with Improved Architecture
BhargaviM0729/MNIST-Handwritten-Digit-Classification-with-Neural-Networks
This project involves training a neural network to classify grayscale images of handwritten digits from the MNIST dataset. Each image is 28x28 pixels and labeled with the correct digit (0–9). The goal is to build a model that can accurately predict the digit shown in a new, unseen image.
Irfann-10/Long-Short-Term-Memory-Neural-Network-for-incomplete-data-inputs
Supervisor: Prof. Dr. Hab. inż.. Marcin Woźniak, Silesian University of Technology, Poland Conference: IVUS 2024: Information Society and University Studies 2024