feedforward-neural-network | Topic

Topic: "feedforward-neural-network"

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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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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celinenguyentu/Deep_Neural_Network_for_Bermudan_Option_Pricing

An applied research project on Bermudan option pricing using FFNN.

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drkocoglu/Machine_Learning_Class

Machine Learning Class - ECE - TTU - Spring 2020

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sayemuzzamansiam/Neural-Network-From-Scratch

Building a Neural Network from Scratch using Python and NumPy

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Forquosh/GPT

Generative Pretrained Transformer built from scratch using PyTorch.

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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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CenturionTheMan/DrawingsIdentifier

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

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CenturionTheMan/ToyNeuralNetwork

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

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bd2720/ML-CPP

A simple machine learning library for C++

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FabriDeCastelli/Wild-Cats-Classification

Classifies wild cats images

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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.

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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.

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lam1aa/Intent-classification-with-FNN

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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

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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

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

FNN using only Numpy

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Ronzo07/Handwritten-Digit-Classifier

A feed-forward neural network for digital classification

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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: 3 months ago - Pushed at: 8 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: 8 months ago - Pushed at: 8 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.

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dawi369/FFNN-In-C99

A Feed-Forward Neural Network created with the C99 standard

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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.

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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: 10 months ago - Pushed at: 10 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: 3 months ago - Pushed at: 11 months ago - Stars: 0 - 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: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

benw126/ising-model-phases-classifier

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

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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: 12 months ago - Pushed at: 12 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 :)

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jackkimmins/SimpleNN

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

Language: C++ - Size: 3 MB - Last synced at: 3 months ago - Pushed at: about 1 year 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

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aanchal898/Fake-Content-Detection

This project focuses on detecting fake content generated by language models. The domain for this project is scientist biographies, where real biographies were sourced from Wikipedia, and fake ones were generated using a fine-tuned GPT-2 model.

Language: Python - Size: 17.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

moralesangel/lettersnumbers-classifier

Letters and numbers classifier for chess games using computer vision and neural networks.

Language: MATLAB - Size: 795 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

abdulsamad183/comparative_study_of_feed_forward_neural_networks

implements 8 deep learning models for handwritten digit classification using the MNIST dataset, with variations in architecture and activation functions.

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pavlosdais/Deep-Learning-NLP

Deep learning for Natural Language Processing

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namansnghl/Stay-or-Stray

Course Dropout Prediction, Datathon Spring'24

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marvinneugebauer/Deep-Learning-Projects

Overview of some of my deep learning projects in recent time.

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beraozbolat/Neural-Networks

Neural Networks

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ASADAYUB1/Exploring-CIFAR10-Images-with-Feed-Forward-Convolutional-Neural-Networks-and-ResNets

Explore CIFAR10 dataset through creating a Feed Forward Neural Network, training a CNN from scratch, and implementing advanced techniques like data normalization, augmentation, and ResNets in PyTorch to achieve over 90% accuracy.

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usedToBeTomas/pile-of-feather

Lightweight and easy to use ml library for small projects, create a neural network in minutes.

Language: Python - Size: 23 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sarsdev/rna_ffn_centura

Repositório de estudo - Implementação de uma RNA FFN (Rede Neural Artificial Feed Forward Network) usando a linguagem SQLWindows (Centura)

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ZackeryPerski/VisualCryptographyMachineLearningCaseStudy

A machine learning repository featuring both a CNN and FFN for image classification of Visual Cryptographic sequences.

Language: Python - Size: 2.53 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

asif-shahriar11/Machine-Learning

Machine learning models.

Language: Python - Size: 86.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mudraverma65/HarmonizingHearts

Harmonizing Hearts: A Music-Based Compatibility Analysis

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mudraverma65/SignSpeak

SignSpeak: Vision System for Sign Language Chatbot

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ErikBavenstrand/Neural-Network-Implementation

An Artificial Neural Network Implementation in Numpy to work with MNIST dataset.

Language: Python - Size: 11.2 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

zacbakerr/ArtificialIntelligence22-23

Created neural network from scratch to solve MNIST problem. Artificial Intelligence Labs - Junior Year of High School (2022-2023)

Language: Python - Size: 4.87 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mbk2103/Transformers-with-FFN

This project implements a Vision Transformer with a Feedforward Network (FFN) for enhanced performance.

Language: Python - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

Sarthak-10/Feed-Forward-Neural-Network-using-FMNIST-Dataset

The project contains the implementation of a Feed Forward Neural Network using Keras on the FMNIST Dataset.

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FabriDeCastelli/NeuRust-Networks

Simple Machine Learning framework in Rust

Language: Rust - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jmaczan/ffnn

Feedforward Neural Network from scratch - backpropagation, gradient descent, activation functions

Language: Python - Size: 57.6 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

weezymatt/388-NLP

Collection of assignments for CS388 to write different NLP tasks mostly from scratch.

Language: Python - Size: 430 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shimazadeh/Neural_Networks

the implementation of a multilayer perceptron

Language: Python - Size: 6.32 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tmshts/machine_learning

Linear / non-linear regression problem and their comparison and Convolutional Neural Network, Feed Forward Neural Network and their accuracy measurement.

Language: Python - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

martindoff/DC-Deep-Neural-Network

Learn dynamical systems as a difference of convex functions (DC) using a feedforward Neural Network (NN) architecture with DC structure. The resulting model learns the dynamics f in DC form as follows: f= f1 -f2 where f1 and f2 are convex functions. The DC structure of the network allows to independently express f1 and f2 as two input convex NN.

Language: Python - Size: 371 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

samyukthababu/music-genre-classification

Multi-class classification of images and audio files using Deep Learning

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thomasdurkin/Custom-Feed-Forward-Network

A 3 layer multilayer perceptron created using Pytorch. Network was optimizing using Stochastic Gradient Descent in order to obtain the best accuracy when distinguishing between pictures of dogs and cats.

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manjeetdahiya/neural-networks-from-scratch

An academic NumPy-based implementation of neural networks from scratch. The library is capable of defining and training feed-forward neural networks and has been tested on datasets such as MNIST.

Language: Python - Size: 7.81 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

u66u/supa-simple-ffnn

Supa simple feed forward neural net with explanations to practice c++ :)

Language: C++ - Size: 75.2 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ThomasWongHY/Neural_Networks_Lab

A lab assignment of training feed forward neural networks and optimization algorithms

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harendra263/Neural_Network

Pytorch Tutorial

Language: Python - Size: 23 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

faizan1234567/Neural-Networks-in-Numpy

implementation of multi layers perceptron in Numpy from scratch

Language: Python - Size: 3.77 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Mike7831/Yet-Another-Neural-Network-Library

Neural network library in C++

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j-schmied/machine-learning-python

Fundamental Concepts of Machine Learning applied with PyTorch

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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: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Ashraf-Khabar/bank-marketing-data-analysis

This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.

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SamuelSHernandez/FormulaAI

Reinforced Learning algorithm to teach a car how to go around a track

Language: Python - Size: 1010 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

virchan/predictive_modeling_workflow

This project explores the predictive modeling workflow using the Kaggle competition "Titanic - Machine Learning from Disaster." It emphasizes key stages like data analysis and model evaluation, aiming to identify the optimal model. Through a real-world approach, we enhance our understanding of the workflow and emphasize rigorous model evaluation.

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xmassmx/Body-Performance-classification

Multi-class Classification of physiological features into 4 classes.

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sandyherho/IndraAnnDeepEval

This repository contains code and figures associated with the "Performance evaluation of a simple feed-forward deep neural network model applied to annual rainfall anomaly index (RAI) over Indramayu, Indonesia" manuscript

Language: Python - Size: 7.44 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

NimaMeghdadi/language_model

feedforward neural network for next word prediction

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dersiwi/unit-circle-FFNN

A feed forward neural network from scratch, that descicdes weather a point lies within the unit circle or not

Language: Python - Size: 95.7 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

NissyAbrahamA/credit-card-fraud-detection

Credit card fraud detection using Machine Learning and Deep Learning

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super-m-a-n/covid19-vaccine-tweets-sentiment-analysis

Deep learning methods for sentiment analysis classification of covid-19 vaccination tweets

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cmnarrillos/uned_DeepNetwork_tf

Benchmark for testing FeedForward Neural Networks with TensorFlow

Language: Python - Size: 74.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

cmnarrillos/uned_RRNN

Code developed for the tasks associated with Neural and Complex Networks subject at UNED

Language: Python - Size: 16 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Reema-Khaseeb/AML-multi-class-FFNN-object-classification

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ErniW/Neural-Network-in-pure-NumPy

A feedforward neural network from scratch without any high level deep learning libraries. Pure mathematics and NumPy.

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MacEngineer2020/Summer-research-

Summer research June 2020- September 2020. This repository contains code for the model and machine learning for growth control.

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peter-strom/ML-p3-CNN

Language: C++ - Size: 172 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

SergeyChelak/neural_labs

Neural networks & AI project

Language: Rust - Size: 70.3 KB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

luismarcoslc/understanding_deep_belief_networks

Comparison of DBNs and FFNN, stressing on understanding how DBNs work and how robust they are against noise and adversarial attacks.

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Gabriel-Gouveia/Rede-Neural-Classificacao-Imagens

Rede neural que classifica imagens do Homer e do Bart Simpson.

Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

EdinZiga/StockTrendForecastingWithR

Final project for CS512 Machine Learning in Medicine and Health. Implementation of ARIMA, RKNN and FFNN models for stock price forecasting

Language: R - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AlbertoCampini/Visual-Backpropagation

Algoritmo Backpropagation su rete Feed Forward

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YMaher99/Parallelizing-the-Feedforward-Operation-of-Neural-Networks-in-Hadoop-MapReduce

Leveraging the mapreduce paradigm we propose a solution to parallelize the feedforward operation of neural networks in order to speed it up for sufficiently large NN architectures and for sufficiently large datasets. Tested Using the MNIST dataset results can be found in the results.html and results.ipynb files.

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