GitHub topics: feedforward-neural-network

Repositories

Hemanthsp999/c-net

Language: C - Size: 12.7 KB - Last synced at: about 9 hours ago - Pushed at: about 10 hours ago - Stars: 0 - Forks: 0

BerkeleyLab/fiats

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

Language: Fortran - Size: 66.4 MB - Last synced at: 2 days ago - Pushed at: 4 days ago - Stars: 42 - Forks: 11

elaheghiyabi96/fashion_mnist_nn_torch

"Simple neural network model using Torch for classifying the Fashion MNIST dataset, implemented with Torch."

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Haleshot/AI-ML-DL-NLP-CV

This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.

Language: Jupyter Notebook - Size: 84.6 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 1

tatavishnurao/Neuralnets_micrograd

Just posting my learning about Neural Networks

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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

Language: Kotlin - Size: 5.4 MB - Last synced at: 6 days ago - Pushed at: almost 5 years ago - Stars: 99 - Forks: 9

strayfade/fnn

A general-purpose, lightweight feed-forward neural network library for C++

Language: C++ - Size: 55.7 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 0

Dhanush-R-git/MH-Analysis

The MHRoberta is Mental Health Roberta model. The pretrained Roberta transformer based model fine-tunned on Mental Health dataset by adopting PEFT method.

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michaelyang1/FeedForwardNeuralNetwork

A multi-layer perceptron/feed-forward neural network library with regularizers and optimizers.

Language: Python - Size: 17.6 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

abdelmalek-maskri/handwritten-digit-classifier

🧠 A simple neural network from scratch using NumPy to classify handwritten digits (MNIST). No TensorFlow, no PyTorch — just raw math, gradient descent, and NumPy. Great for learning how neural nets really work!

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I-Halder/ML-algorithm-from-scratch

This repo contains implementation of some basic ML algorithms from scratch on PyTorch with GPU support.

Language: Python - Size: 40 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

JoseRuiz01/DeepLearningTraining

Experiments with different deep learning architectures for image classification

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maciusyoury15/IFT6135_HW2

Implementing GPT, Decoder, LSTM, Lora, Layer-Batch normalizations, LLMs, FFNN, Attention mechanism, Transformer

Language: Python - Size: 4.41 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

oysteijo/simd_neuralnet

Feed-forward neural network implementation in C with SIMD instructions

Language: C - Size: 417 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 0

okozelsk/EasyML

An easy-to-use independent machine learning library for .net. It offers MLP models (including deep RVFL aka ELM) for common ML tasks as well as Reservoir Computer for efficiently solving ML tasks on time series data.

Language: C# - Size: 5.47 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0

rishikksh20/FNet-pytorch

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

Language: Python - Size: 87.9 KB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 259 - Forks: 37

100/Cranium

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

Language: C - Size: 99.6 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 597 - Forks: 55

uek-1/puffpastry

basic rust neural network framework

Language: Rust - Size: 98.6 KB - Last synced at: 28 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 1

tversteeg/neat-o 📦

:seedling: Realtime Neuroevolution of Augmented Topologies

Language: C - Size: 341 KB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 5

ranimeshehata/Heart-Failure-Classification-Problem Fork of habibatarek26/Heart-Failure-Classification-Problem

This project aims to build and evaluate machine learning models to predict heart failure based on patient data. The project includes the implementation of 6 machine learning algorithms.

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ranimeshehata/Feed-Forward-Neural-Network-on-MNIST

A PyTorch-based project for classifying the MNIST dataset using Feed Forward Neural Networks, including training, validation, results and visualization.

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mdkarimullahaque/da6401_assignment1

Here the feedforward neural network will be trained and tested using the Fashion-MNIST dataset. Specifically, given an input image (28 x 28 = 784 pixels) from the Fashion-MNIST dataset, the network will be trained to classify the image into 1 of 10 classes.

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tamasdinh/bike-sharing-prediction-nn

Predicting bike sharing demand patterns with a feed-forward neural network implemented in raw NumPy.

Language: Jupyter Notebook - Size: 481 KB - Last synced at: 29 days ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

mapluisch/TripoSR-for-Unity

Generate 3D meshes from 2D images and retexture them directly in Unity.

Language: Python - Size: 39.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 42 - Forks: 5

celinenguyentu/Deep_Neural_Network_for_Bermudan_Option_Pricing

An applied research project on Bermudan option pricing using FFNN.

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HarlockOfficial/Deep-Learning-and-Computer-Vision 📦

Prediction of Protein-Protein Interaction (PPI) sites for the classification of aminoacidic interaction

Language: Python - Size: 190 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Ornella-Gigante/IA_Deep_Learning

Solución de problemas reales- en este clasificando enfermedades cardiovasculares e imágenes- a través de un modelo FEED -FORWARD.

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Antonio-Onyx/feedforward-neural-network-from-scratch

FNN using only Numpy

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Ornella-Gigante/Arquitectura_Avanzada_IA

The IA work on the Disneyland.csv dataset utilizes feed forward, LSTM, and BERT models to analyze and predict positive and negative reviews in a simple and engaging manner. By employing these models, the analysis provides valuable insights for park managers to enhance the visitor experience based on customer feedback.

Language: Jupyter Notebook - Size: 733 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

drkocoglu/Machine_Learning_Class

Machine Learning Class - ECE - TTU - Spring 2020

Language: MATLAB - Size: 15.2 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sayemuzzamansiam/Neural-Network-From-Scratch

Building a Neural Network from Scratch using Python and NumPy

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Ritvik19/pyradox

State of the Art Neural Networks for Deep Learning

Language: Python - Size: 54.3 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 61 - Forks: 6

LoserCheems/WonderfulMatrices

Wonderful Matrices to Build Small Language Models

Language: Python - Size: 8.78 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 43 - Forks: 0

Forquosh/GPT

Generative Pretrained Transformer built from scratch using PyTorch.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

LoopyNoodle/Neural-Networks

A collection of small projects to further explore artificial neural networks (ANNs) and various machine learning algorithms.

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VGD3626/MLFFNN_from_scratch

Multilayer feed-forward neural network for binary classification

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NurFakhri/Predicting-Travel-Destination

Proyek machine learning untuk memprediksi preferensi destinasi wisata antara pantai dan gunung berdasarkan data tabular menggunakan model deep learning (TabNet dan Feedforward Neural Network) untuk klasifikasi, dengan fokus pada analisis performa

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CenturionTheMan/DrawingsIdentifier

Application for classifying hand-drawn sketches based on the QuickDrawDataset.

Language: C# - Size: 369 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

CenturionTheMan/ToyNeuralNetwork

A self-made neural network library that supports feedforward neural networks and convolutional neural networks

Language: C# - Size: 593 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

matcor852/NeuralNet 📦

Polyvalent neural network

Language: C - Size: 36.1 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Maartz/NN

A Feed Forward Neural Network in Erlang

Language: Erlang - Size: 19.5 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

bd2720/ML-CPP

A simple machine learning library for C++

Language: C++ - Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hitesh1292/CIS-731-Artificial-Neural-Networks

CIS 731 ANN Assignments

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FabriDeCastelli/Wild-Cats-Classification

Classifies wild cats images

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nthnn/n2cmu

Feedforward Neural Network Coprocessing Microcontroller Unit (CPC via UART) for STM32F103C8T6 Bluepill Development Board written purely in TinyGo.

Language: Go - Size: 401 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

mihkuno/SKENNET

A p5.js sketch with a supervised feedforward neural network model using ml5.js for training and predicting the input shape's color based on training coordinates.

Language: JavaScript - Size: 1.03 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tpiasek/neuralNetworks_twoLayer_XOR

Simple two-layer neural network written in Python mainly to solve the XOR problem. NN implemented in two versions: without tensorflow usage and with tensorflow package. It uses back-propagation algorithm and sigmoidal activation functions. In more advanced versions other techniques like mini-batch, adaptive learning ratio etc. implemented.

Language: Python - Size: 143 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

danmcleran/tinymind Fork of intel/cppnnml

Tinymind is a Neural Network and Machine Learning project intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems.

Language: C++ - Size: 1.43 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 9 - Forks: 2

benw126/ising-model-phases-classifier

2D Ising model phases classification using feedforward neural network. (Project for PHYS3151)

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snap-research/MLPInit-for-GNNs

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

Language: Jupyter Notebook - Size: 738 KB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 77 - Forks: 4

moayadeldin/DiaLoop

Android/iOS app for Diabetes monitoring and prediction. (UI-based features & Predictive Analysis using Deep Learning)

Language: Dart - Size: 2.94 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

shubham0204/Feedforward_Neural_Network_Kotlin 📦

Feed-Forward Neural Networks implemented in Kotlin.

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lam1aa/Intent-classification-with-FNN

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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.

Language: Perl - Size: 5.56 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 38 - Forks: 13

juliaenriquetto/fireforecast

Machine learning predicting potential fires in Brazil.

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jackkimmins/Alpha-Digit

C++ Feedforward Neural Network w/ WASM Inferencing & Vue3 UI for MNIST Digit Classification

Language: JavaScript - Size: 6.12 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tgjeon/Keras-Tutorials

Simple tutorials using Keras Framework

Language: Jupyter Notebook - Size: 502 KB - Last synced at: about 1 month ago - Pushed at: about 8 years ago - Stars: 267 - Forks: 136

pastranacl/IAcobus

IAcobus is a minimal library to build fully connected feedforward neural networks

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LiamGallagher737/fnn

A simple Feedforward Neural Network library for Rust

Language: Rust - Size: 37.1 KB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

becxer/pytrain

Machine Learning library for python

Language: Python - Size: 39.4 MB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 5

jhaayush2004/My-Transformer

Code implementation of Transformer Model in "Attention is All You Need" in PyTorch.

Language: Jupyter Notebook - Size: 5.25 MB - Last synced at: 30 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Kemsekov/GradientDescentSharp

General gradient descent + neural network implementations in c# for any defined problem

Language: C# - Size: 864 KB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

Ronzo07/Handwritten-Digit-Classifier

A feed-forward neural network for digital classification

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

arkanivasarkar/Deep-Learning-from-Scratch

Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

Language: Python - Size: 18.1 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

timosarkar/WHEATHER-RUN

simple genetic ai model to tell you when to go for a run and when not

Language: Python - Size: 2.93 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Gracysapra/Heart-Disease-Prediction-Project

This project implements various machine learning models, including Logistic Regression, Random Forest, and FNN, to predict heart disease. Utilizing Gradio for a user-friendly interface and MLflow for model management, it aims to enhance diagnostic accuracy.

Language: Jupyter Notebook - Size: 268 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

dawi369/FFNN-In-C99

A Feed-Forward Neural Network created with the C99 standard

Language: C - Size: 25.8 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

iglee/Perceptron-Text-Classifier

Sentiment Classification exercise with perceptron, feed-forward multilayer net, LSTM RNN, and RCNN!

Language: Python - Size: 575 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

MohidulHaqueTushar/PyTorch-details

PyTorch detailed analysis to create Machine learning to Deep learning model

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wasay8/Classification-Customer-Churn

A web application hosted on Streamlit to predict customer churn using a deep learning model.

Language: Jupyter Notebook - Size: 354 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

xtnctx/BFRBSys

A wrist-worn device and monitoring system with user-file-memory management system for a person with Body-focused Repetitive Behavior

Language: Dart - Size: 59.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

adinarad/IK-3LinkManipulator-NN

Solving the inverse kinematics problem of a 3 Link Planar Manipulator using neural networks.

Language: Jupyter Notebook - Size: 846 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 1

Angel2526/Deep-Learning-lab

The handbook is structured to facilitate a clear understanding of deep learning principles, starting with basic neural network architecture and gradually advancing to complex topics such as convolutional neural networks (CNNs)

Language: Python - Size: 7.81 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

TelevisionNinja/Flappy-Bird-AI

An AI that plays flappy bird using neuroevolution

Language: Python - Size: 15.6 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Generlate/model_generator_c_plus_plus

A feed forward neural network that learns to produce boxes.

Language: C++ - Size: 909 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

devmount/neural-network-pos-tagger

Train and evaluate neural network language models for POS tagging, tag input sentences according to a trained model.

Language: Python - Size: 19.7 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 12 - Forks: 0

dcarpintero/transformer101

Annotated vanilla implementation in PyTorch of the Transformer model introduced in 'Attention Is All You Need'.

Language: Jupyter Notebook - Size: 215 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

machinelearningnuremberg/WellTunedSimpleNets

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

Language: Python - Size: 95.7 KB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 71 - Forks: 14

lbirkert/digit-recognition

[from-scratch] feed forward neural network that can recognize handwritten digets

Language: Python - Size: 13.7 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

zkcplk/Federe_Ogrenme_ile_Malware_Tespiti

Marmara Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği bölümünde sunulan “DERİN SİNİR AĞLARI İLE FEDERE ÖĞRENME TABANLI BİR KÖTÜ AMAÇLI YAZILIM TESPİT UYGULAMASI” başlıklı tez çalışmasına ait kaynak kodlarıdır.

Language: Python - Size: 32.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

islem-esi/DeepMalwareDetector

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

Language: Python - Size: 75.8 MB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 67 - Forks: 15

Mhmd-Hisham/NEAT-PIE

A humple implementation of the NeuroEvolution of Augmenting Topologies[NEAT] algorithm written purely in Python3.

Language: Python - Size: 34.2 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

SaiashishChauhan/ANN-Practicals-6th-Sem-SPPU-syllabus-

The repository contains all the codes of all practicals of ANN (SL-2) lab for the AIDS branch. The codes are according to problem statements given in the syllabus of SPPU. Download code and practice them to score good in your practical exams :)

Language: Jupyter Notebook - Size: 755 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

srohit0/mida

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

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 26 days ago - Pushed at: over 6 years ago - Stars: 26 - Forks: 7

mezbaul-h/ffn

Python implementation of a Feed-Forward Backpropagation neural network using only the standard library

Language: Python - Size: 25.4 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

andrijadukic/feedforward

A multilayer feedforward neural network implementation

Language: Go - Size: 125 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

jackkimmins/SimpleNN

Feedforward Neural Network Classifier in C++ • Data Handling, Training, Prediction, and Evaluation

Language: C++ - Size: 3 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ishita48/Machine-Learning_Model_Predicting_California_Housing_Prices

This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0