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feedforward-neural-network

Here are 399 public repositories matching this topic...

100 / Cranium

🤖 A portable, header-only, artificial neural network library written in C99

c machine-learning embedded neural-network travis-ci continuous-integration portable matrix c99 efficient regression header-only classification artificial-neural-networks blas feedforward-neural-network vectorization cblas

Updated Oct 29, 2023
C

tgjeon / Keras-Tutorials

Simple tutorials using Keras Framework

deep-learning tensorflow keras feedforward-neural-network keras-tutorials

Updated Mar 15, 2017
Jupyter Notebook

rishikksh20 / FNet-pytorch

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

text-classification text transformer vision image-classification feedforward-neural-network language-model fourier-transform fnet

Updated May 18, 2021
Python

Somnibyte / MLKit

A simple machine learning framework written in Swift 🤖

swift machine-learning neural-network genetic-algorithm linear-regression machine-learning-algorithms regression artificial-intelligence machine-learning-library feedforward-neural-network kmeans ridge-regression polynomial-regression backpropagation kmeans-clustering mlkit lasso-regression

Updated Aug 28, 2018
Swift

KotlinNLP / SimpleDNN

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

kotlin machine-learning natural-language-processing neural-network recurrent-neural-networks artificial-intelligence feedforward-neural-network attention-mechanism

Updated Jun 18, 2020
Kotlin

releaunifreiburg / WellTunedSimpleNets

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

deep-learning tabular-data hyperparameter-optimization feedforward-neural-network regularization hpo automl state-of-the-art neurips-2021

Updated Feb 28, 2023
Python

snap-research / MLPInit-for-GNNs

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

deep-learning scalability pytorch feedforward-neural-network multi-layer-perceptron graph-algorithm graph-neural-networks gnn efficient-training

Updated Apr 5, 2023
Jupyter Notebook

islem-esi / DeepMalwareDetector

A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

machine-learning deep-learning cnn python3 recurrent-neural-networks feature-extraction lstm neural-networks rnn feedforward-neural-network convolutional-neural-networks yara sae malware-detection fnn

Updated Apr 17, 2023
Python

Ritvik19 / pyradox

State of the Art Neural Networks for Deep Learning

deep-neural-networks deep-learning python3 recurrent-neural-networks neural-networks artificial-neural-networks feedforward-neural-network convolutional-neural-networks tensorflow2

Updated Nov 27, 2021
Python

kristijanbartol / general-3d-humans

[CVPR 2022 Oral] Generalizable Human Pose Triangulation

deep-learning feedforward-neural-network human-pose-estimation generalization 3d-human-pose human36m cmu-panoptic cvpr2022 stochastic-learning

Updated Feb 14, 2023
Python

MichaelJWelsh / yannl

Yet another neural network library

c-plus-plus neural-network portable c-plus-plus-11 matrix regression classification artificial-neural-networks blas feedforward-neural-network callbacks cblas

Updated Sep 25, 2017
C++

mravanelli / pytorch_MLP_for_ASR

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

python deep-neural-networks deep-learning cuda pytorch speech-recognition neural-networks feedforward-neural-network mlp kaldi asr timit multilayer-perceptron kaldi-asr

Updated Feb 10, 2018
Perl

nipunmanral / MLP-Training-For-MNIST-Classification

Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy

deep-learning neural-networks mnist-classification feedforward-neural-network backpropagation multilayer-perceptron

Updated Jun 21, 2022
Python

mida

srohit0 / mida

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

machine-learning deep-neural-networks deep-learning neural-network machine-learning-algorithms artificial-intelligence artificial-neural-networks logistic-regression feedforward-neural-network polynomial-regression vlsi machine-intelligence design-automation electronic-design-automation vlsi-circuits vlsi-design vlsi-machine-learning vlsi-deep-learning

Updated Dec 9, 2018
Jupyter Notebook

donghyeonk / fastText1607

Unofficial Implementation of "Bag of Tricks for Efficient Text Classification", 2016, Armand Joulin et al. (https://arxiv.org/pdf/1607.01759.pdf)

pytorch feedforward-neural-network fasttext bag-of-ngrams

Updated Dec 23, 2022
Python

NET

okozelsk / NET

Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.

machine-learning deep-learning csharp regression prediction recurrent-neural-networks classification machine-learning-library feedforward-neural-network spiking-neural-networks echo-state-networks dotnet-standard reservoir-computing multiclass-classification time-series-classification liquid-state-machines time-series-forecasting activation-functions

Updated May 11, 2023
C#

yunchuankong / GEDFN

GEDFN: Graph-Embedded Deep Feedforward Network

bioinformatics deep-neural-networks deep-learning tensorflow gene-expression feature-selection classification feedforward-neural-network network-analysis

Updated Apr 23, 2019
Python

BerkeleyLab / inference-engine

A deep learning library for use in high-performance computing applications in modern Fortran

machine-learning deep-learning neural-network inference artificial-intelligence neural-networks artificial-neural-networks feedforward-neural-network ann fortran2018

Updated May 8, 2024
Fortran

tayebiarasteh / DeepLearning_from_scratch

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

Updated Jun 12, 2023
Python

dongyx / lnn

A Command-Line Program of Feedforward Neural Networks

c linux cli unix machine-learning terminal ai deep-learning neural-network command-line artificial-intelligence feedforward-neural-network mlp multilayer-perceptron-network multilayer-perceptron

Updated Nov 2, 2023
C

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