GitHub topics: neural-network-architectures

Repositories

fmenat/optimal-multiview-crop-classifier

Public repository of our work in the search for an optimal multi-view crop classifier (considering encoder architectures and fusion strategies)

Language: Python - Size: 9.35 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 6 - Forks: 0

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.

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

pouyaardehkhani/ActTensor

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

Language: Python - Size: 1.96 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 26 - Forks: 4

Maryam-Nasseri/AI-concepts

AI concepts, papers, algorithms, tutorials, AI roadmap

Size: 176 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 1

Navy10021/Harbor_Logistics_prediction

Transformers-based Neural Network harbor logistic prediction model

Language: Python - Size: 274 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

sayemuzzamansiam/Play-and-Learn-Neural-Networks-with-Python

This project prove a simple gameplay system to understand Neural Network

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

AliKHaliliT/BResNet16D-Family

Bottleneck ResNet16 Networks with Enhanced Architecture

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AliKHaliliT/ResNet18D-Family

Custom ResNet18 Networks with Improved Architecture

Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

carlosholivan/DeepLearningMusicGeneration

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

Size: 16.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 284 - Forks: 26

kengz/torcharc

TorchArc: Build PyTorch models by specifying architectures.

Language: Python - Size: 1.39 MB - Last synced at: 21 days ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

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!

Language: Jupyter Notebook - Size: 70 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

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!

Language: Python - Size: 58.6 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

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

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

Language: Python - Size: 146 KB - Last synced at: 7 days ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 1

matteo-stat/mobilevit-a-mobile-friendly-vision-transformer

A Keras implementation of the MobileViT architectures, built from scratch using TensorFlow and Python.

Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 205 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

yuvalailer/nnplot

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

Language: Python - Size: 10 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 1

nemat-al/Architecture-of-Neural-Networks

Tasks for Architecture of Neural Networks Course @ ITMO University

Language: Jupyter Notebook - Size: 17.5 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

eren23/nn-architecture-examples

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

Language: Python - Size: 157 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

BaseMax/PredictionWikipediaMathematicsVisitsResearch

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

Language: Python - Size: 1.49 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 0

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.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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))

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 6

SegwangKim/neural-seq2grid-module

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

Language: Python - Size: 103 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 2

jonzia/NeuralNetStudio

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

Language: MATLAB - Size: 300 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 3

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

Language: Python - Size: 1.86 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

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.

Language: Jupyter Notebook - Size: 132 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

GSNCodes/Deep-Learning-Architectures

My Implementation of well known DL architectures using PyTorch

Language: Python - Size: 725 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 23.9 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

TimKong21/Deep-Learning-Specialization-

Contains solutions and notes for the Deep Learning Specialization by Deeplearning.ai, Andrew Ng on Coursera

Language: Jupyter Notebook - Size: 1.09 GB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

pstat197/vignette-ann-architecture-exploration

An exploration of neural network architecture using regression in R.

Language: HTML - Size: 6.82 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

Sanghyun-Hong/DeepRecon

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

Language: Python - Size: 7.15 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 6

Nemat-Allah-Aloush/Architecture-of-Neural-Networks

Tasks for Architecture of Neural Networks Course at ITMO University

Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sushantMoon/isi-nna

Neural Network Architcture | ISI Kolkata

Language: Jupyter Notebook - Size: 4.3 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

donny-stacks/tensorflow Fork of tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

Language: C++ - Size: 736 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Related Keywords

neural-network-architectures 43 deep-learning 19 tensorflow 11 neural-networks 11 neural-network 11 convolutional-neural-networks 10 machine-learning 9 python 8 cnn 8 neural-networks-from-scratch 8 keras 7 pytorch 6 recurrent-neural-networks 4 deep-neural-networks 4 computer-vision 4 hyperparameter-tuning 3 neural-network-from-scratch 3 deeplearning 3 data-science 3 artificial-intelligence 3 ai 3 keras-neural-networks 3 backpropagation 3 neural-network-example 3 visualization 3 image-segmentation 3 numpy 3 lstm 3 gan 3 recommendation-system 2 dcgan 2 torch 2 pytorch-implementation 2 neural-network-tutorials 2 u-net 2 autoencoders 2 object-detection 2 dcgan-pytorch 2 image-classification 2 artificial-neural-networks 2 transformers 2 neural-network-python 2 rnn 2 regularization 2 inductive-transfer 2 long-short-term-memory 2 activation-functions 2 classification 2 natural-language-processing 2 preprocessing 1 pandas 1 matplotlib 1 side-channel-attacks 1 security-vulnerability 1 regression-analysis 1 unofficial 1 back-propagation 1 mathematical-optimization 1 pyhton 1 neural-network-regression 1 time-series-prediction 1 hyperparameter-optimization 1 hyperparameter-search 1 matlab 1 parallel-processing 1 recurrent-networks 1 backpropagation-excel 1 backpropagation-indonesia 1 backpropagation-manual-code 1 backpropagation-neural-network 1 backpropagation-python 1 math-behind-backpropagation 1 step-by-step-backpropagation 1 deep-learning-with-keras 1 image-representation-learning-mnist-dataset 1 mnist-dataset 1 siamese-networks 1 triplet-loss 1 computervision 1 embeddings 1 imdb-dataset 1 paper 1 text-preprocessing 1 deep-learning-algorithms 1 deep-learning-framework 1 educational 1 python-implementation 1 lambda-school 1 cnn-classification 1 cnn-model 1 convolutional-neural-network 1 cross-entropy 1 feedforward 1 german-traffic-sign-classifier 1 gradient-descent 1 lenet 1 lenet-architecture 1 machinelearning 1 inception-v4 1 inceptionnet 1