Pedro-Verissimo/Multiple_Disease_Prediction_Model

Language: Jupyter Notebook - Size: 325 KB - Last synced at: about 12 hours ago - Pushed at: about 13 hours ago - Stars: 0 - Forks: 0

jaepil/geometric-adam

A Ray Tracing-Inspired Approach to Neural Network Optimization

Language: Python - Size: 25.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 17 - Forks: 0

Widezaaaaaaaa/Gradient-Network

**Gradient Network** is a Layer-2 scaling platform on Testnet, allowing developers to build scalable, high-performance decentralized applications with optimized resource management.

Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

xTimeCrystal/Muon-RMS-Norm

This version of Muon converges slightly faster than the Muon from modded-nanogpt in some cases. The change is RMS-Norm after orthogonalization over the first dimension of the weight matrix (last dimension of nn.Linear). The code here assumes you store the weights like nn.Linear i.e. used like x = x @ W.T.

Language: Python - Size: 9.77 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

thieu1995/MetaPerceptron

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

Language: Python - Size: 338 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 11 - Forks: 1

beater35/deep-cnn-image-classification

A Convolutional Neural Network (CNN) based image classification project using both baseline and deeper architectures. Trained and evaluated with Adam and SGD optimizers.

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rsngmson/Adam

Implementation the Adam optimizer using PyTorch

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LiyuanLucasLiu/RAdam

On the Variance of the Adaptive Learning Rate and Beyond

Language: Python - Size: 933 KB - Last synced at: 25 days ago - Pushed at: almost 4 years ago - Stars: 2,548 - Forks: 334

ArshTiwari2004/Sahyog

Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.

Language: JavaScript - Size: 14.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 3

ugyenn-tsheringg/Predicting-Loan-Defaults-with-Deep-Learning

A deep learning model to predict loan default probabilities for the African Credit Scoring Challenge.

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

giladodinak/mlinc

Machine Learning from scratch in C

Language: C - Size: 5.55 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

elaheghiyabi96/fashion_mnist_nn_torch

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

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Freya135/Optimizing-Catastrophic-Forgetting

This project investigates various continual learning methods to mitigate catastrophic forgetting

Language: Python - Size: 994 KB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Gunale0926/Grams

Grams: Gradient Descent with Adaptive Momentum Scaling (ICLR 2025 Workshop)

Language: Python - Size: 38.1 KB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 11 - Forks: 1

VyjayanthiPolapragada/Image_Classifier_CNN_Data_Augmentation

A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.

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elaheghiyabi96/pytorch-mnist-classification

A simple PyTorch implementation for classifying handwritten digits from the MNIST dataset. The project includes data preprocessing, model training, and evaluation, along with a visualization of a test image and its predicted label.

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VinkuraAI/Docxo

Vinkura's DOCXO is an efficient training framework for large language models, designed to minimize communication overhead on Google Cloud Platform (GCP) with GPUs.

Language: Python - Size: 14.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 0

aakashks/private-adam

Differentially Private Gradient Descent Optimizers

Language: Python - Size: 474 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

avnlp/hyperparameter-tuning

Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance

Language: Python - Size: 4.59 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

anodicpassion/face_mask_detector

A real-time face mask detection system built with TensorFlow, Keras, OpenCV, and MobileNetV2. This project can detect whether a person is wearing a face mask or not using a webcam feed.

Language: Python - Size: 8.01 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

JaewonSon37/Neural_Networks_and_Deep_Learning1

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maheshvarade/Rice-Grain-Classification-using-MobileNetV2

Rice Grain Classification Using MobileNetV2 This project focuses on classifying five types of rice grains (Arborio, Basmati, Ipsala, Jasmine, and Karacadag) using MobileNetV2. The dataset consists of 75,000 images (15,000 per class).

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vickshan001/CIFAR-10-CNN-Enhancer-Neural-Networks

CNN classifier for CIFAR-10 with enhanced architecture, dropout, and data augmentation.

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insdout/ML-Algorithms-From-Scratch

Implementations of main Machine Learning Agorithms from scratch: Gaussian Mixture Model, Gradient Boosting, Adam, RMSProp, PCA, QR, Eigendecomposition, Decision Trees etc.

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Walleclipse/Adam_Initialization

[CPAL 2025] Revisiting the Initial Steps in Adaptive Gradient Descent Optimization

Language: Python - Size: 4.12 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

harshalmittal4/Hypergradient_variants

Improved Hypergradient optimizers for ML, providing better generalization and faster convergence.

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philiptitus/Book-Recommendation

Recommender system using collaborative filtering algorithm for recommnding books to read

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Niteshchawla/Logistics-NN-Regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

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FraLiturri/NNevermind

NNevermind offers an easy-to-use Neural Network with many training options, parallelized grid search as well as results analysis.

Language: C++ - Size: 21.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

WilliamZhang20/ML-in-JAX

Experimenting with various ML algorithms in JAX

Language: Python - Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

havva-nur-ezginci/Diabetes-EyeDisease-Detection-ML-DL

💻This project involves the application of machine learning and deep learning methods 📊 to detect diabetes🩸 and diabetes-related eye 👁️diseases.

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ArtZaragozaGitHub/NN--P4_Predicting_Customers_Likely_to_Abandon_Bank_Services

Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers

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TahirZia-1/My-own-Optimization-Function-in-Keras

Implementation of my own optimization function in Keras to train a neural network. Also compared with common optimizers like ADAM.

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TahirZia-1/NLP-TextClassify

A hands-on NLP project comparing classic ML models (Naïve Bayes, SVM, Logistic Regression) and ANNs for text classification using SMS Spam and 20 Newsgroups datasets.

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mkgeiger/neural-network

Simple neural-network supporting most importent features like Convolutional-/Fully Connected network completely written in Ansi C

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MohammedSaqibMS/Optimization_methods

Description: This repository implements a 3-layer neural network to compare the performance of Gradient Descent, Momentum, and Adam optimization algorithms on a dataset, highlighting their training accuracy and convergence behavior.

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sushant1827/Improvise-a-Jazz-Solo

Coursera - RNN Programming Assignment: In this project, we will implement a model that uses an LSTM to generate music. In the end, we'll even be able to listen to your own music!

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OptimalFoundation/nadir

Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻

Language: Python - Size: 22.8 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 3

anupbhowmik/Neural-Network-From-Scratch

Implementation of a neural network from scratch. The implementation includes key features such as model architecture, training, evaluation, and optimization. The project is structured to be modular and easily extensible.

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amazon-science/mada_optimizer_search

Code the ICML 2024 paper: "MADA: Meta-Adaptive Optimizers through hyper-gradient Descent"

Language: Python - Size: 4.14 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 4 - Forks: 1

tirtharajdash/CS-F425_Deep-Learning

CS F425 Deep Learning course at BITS Pilani (Goa Campus)

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shreyansh26/ML-Optimizers-JAX

Toy implementations of some popular ML optimizers using Python/JAX

Language: Python - Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 44 - Forks: 2

ReshmaAiman/Rice-Leaf-Disease-Detection

Language: Jupyter Notebook - Size: 7.13 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Tanmayee2010/Semantic-Image-Clustering

Semantic Image Clustering Using Machine Learning Algorithms

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SubhangiSati/Land-Use-Land-Cover-Classification

This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of land based on satellite or aerial images.

Language: Python - Size: 26.4 KB - Last synced at: 14 days ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

ashithapallath/facemaskdetection-using-cnn

This project implements a CNN-based Face Mask Detection Model to classify images as with mask or without mask. Trained on a labeled dataset, the model achieves 90% accuracy, making it suitable for real-world applications like public safety monitoring.

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aromanro/MachineLearning

From linear regression towards neural networks...

Language: C++ - Size: 250 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 24 - Forks: 0

MoinDalvs/Gradient_Descent_For_beginners

Gradient_descent_Complete_In_Depth_for beginners

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wwazed/Beef_Image_Classification

The repository focuses on building a deep learning model to classify fresh and rotten meat using TensorFlow and Keras. ResNet50-based model is constructed with custom layers for classification and compiled with the Adam optimizer.

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himanshumahajan138/TransferVision

Transfer learning for image classification using pre-trained models like ResNet50, ResNet100, EfficientNetB0, and VGG16 in Keras. Fine-tunes the last layers, applies image augmentation, and evaluates with Precision, Recall, AUC, F1 score, and early stopping for improved performance.

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sushant1827/Fashion-Clothing-Classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

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Pabloo22/dlfs

Implementation from scratch (using numpy arrays) of a framework based on keras interface which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).

Language: Python - Size: 1.69 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 3

anurima-saha/Image_Classification_CNN_MobileNetV3

IMAGE CLASSIFICATION USING CNN and MobileNetV3

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AlanDoesCS/Easy-Java-RL-Library

A simple RL library, with a focus on DQNs

Language: Java - Size: 11.3 MB - Last synced at: 26 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

priyavrat-misra/image-colorizer

A deep residual auto-encoding approach to colorize images.

Language: Jupyter Notebook - Size: 99.9 MB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

Winterwind/Covid19_Transfer_Learning

A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images

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Prajwal10031999/Facial-Expression-Recognition-Using-CNN

A facial emotion/expression recognition model created using CNN with Keras & Tensorflow

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yomi4486/cat_discrimination

猫の種類の判別を行うAPIです。

Language: Python - Size: 113 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

IgorRahzel/FunkSVDRecommenderSystem

Recommender System based on FunkSVD

Language: Python - Size: 46.2 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

RudreshVeerkhare/CustomXGBoost

Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.

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Vaishnavi8507/Pneumonia_Detection

Pneumonia Detection using Deep Learning where a standard labelled dataset is used for detecting viral and bacterial pneumonia

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schketik/neural_network_keras_resnet

Computer Vision Model for Age Estimation from Facial Images

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parasdahal/deepnet

Educational deep learning library in plain Numpy.

Language: Python - Size: 40 KB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 322 - Forks: 83

Bishal77/Hybrid-CNN-BiLSTM-architecture-for-detecting-multi-step-cyber-attack

The model leverages the strengths of both CNNs and BiLSTM networks to effectively capture spatial and temporal patterns in network traffic data. We trained and evaluated the model using a comprehensive dataset of cyber attacks. The model achieved a high accuracy of 99%.

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Wiktor2718/matrix_flow

Matrix Flow is a simple machine learning library written in Rust and CUDA. It was created as a portfolio project to deepen my understanding of machine learning, GPU programming, and Rust. It provides an API for matrix manipulation and includes specially optimized neural networks.

Language: Rust - Size: 45.9 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Binitjha2000/Deep_Learning_Plant_Village

This AI "Plant Doctor" uses image analysis to diagnose plant diseases. It learns from the PlantVillage dataset and employs powerful techniques

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theroyakash/Adam

Implementation of Adam Optimization algorithm using Numpy

Language: Jupyter Notebook - Size: 128 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 5

gaizkiaadeline/Text-Classification-Model-using-LSTM-and-word2vec-vectorization

This repository contains a text classification model using LSTM, Word2Vec embeddings, and the Adam optimizer for efficient training and classification of textual data. The model classifies textual data based on pre-trained word vectors and is built with TensorFlow and Keras.

Language: Jupyter Notebook - Size: 4.67 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

sagarvegad/Adam-optimizer

Implemented Adam optimizer in python

Language: Python - Size: 1.95 KB - Last synced at: 6 months ago - Pushed at: about 8 years ago - Stars: 48 - Forks: 24

Rafat3000/Glass-Classification

Classification data and using ANN model

Language: Jupyter Notebook - Size: 78.1 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

mseminatore/ann

LIBANN is a fast, portable and easy to use neural network library written in pure ANSI-C

Language: C - Size: 7.14 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 1

YulongNiu/RNASeqQuant

R package for RNA-Seq quantification

Language: C++ - Size: 2.05 MB - Last synced at: 9 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

iamDyeus/Neuralnsight

Brain Tumor Detection using Deep learning.

Language: HTML - Size: 8.71 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

AmitKumar7138/Symbol-MathNet

Symbol-MathNet simplifies recognizing handwritten mathematical symbols using deep learning. It’s a valuable tool for educators, students, and researchers working with mathematical expressions.

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

FRAUSAI96/Tem_project

Unet per la segmentazione di immagini biomediche

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irfanrob/Classification-CT-Scan-of-Covid-19

A deep learning classification program to detect the CT-scan results using python

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Isa1asN/cern-electron-collision-data-m-prediction

CERN Electron collision data- Invariant mass prediction

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minhosong88/CNNs_food_classification

This project focuses on using Convolutional Neural Networks (CNNs) to classify food images from the Food-11 dataset.

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shaazib-tanvir/iris_classification

A neural network that predicts iris species by dimensions

Language: Python - Size: 19.5 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

kvignesh1420/single-index-ht

Heavy-tailed ESD without gradient noise

Language: Python - Size: 83 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

ShreyashShinde/Leafy

AI Based Plant Leaf Disease Detection System Using Flask Backend

Size: 1.95 KB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jhaayush2004/Translatron

English to Hindi Translation Using Hugging Face Transformer

Language: Jupyter Notebook - Size: 161 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Akshay-Vs/CNN-Image-Classification

This project uses a CIFAR dataset-trained convolutional neural network to classify input images, whether it is a pre-processed image from the dataset or a user-supplied image via URL, with the functionality to assign a confidence score to the prediction.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

sathishkumar67/Optimizer-Comparision

Testing out Schedule vs Schedule Free Optimizer

Language: Python - Size: 366 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

IsmaelMousa/diabetes-classification

Building and training a neural network with PyTorch to accurately predict the onset of diabetes from clinical measurements

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saminheydarian/DeepLearning_Course_2021

Deep Learning Course | Home Works | Spring 2021 | Dr. MohammadReza Mohammadi

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anjanchowdhury/Image-Caption-Generator

Image caption generator project is automatically describes images with coherent and relevant textual captions.

Language: Python - Size: 592 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

jmarihawkins/neural-network-challenge-2

The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.

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Nishant2018/Optimized-Neural-Network-Scratch-

Optimizing neural networks is crucial for achieving high performance in machine learning tasks. Optimization involves adjusting the weights and biases of the network to minimize the loss function. This process is essential for training deep learning models effectively and efficiently.

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satmm/Alzheimer-s-Disease-Model

Please Reffer the below attached video in the README.md for demo

Language: CSS - Size: 5.25 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

maciejczarnacki/hindbrain.py

Artificial neural network package written in python

Language: Python - Size: 43 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

tensor-fusion/Adam-Optimizer

Adam optimizer in Haskell using the StateT monad transformer.

Language: Haskell - Size: 12.7 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

matiassenia/modelo-prediccion-temperatura

Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones

Language: Python - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

coder-backend/Stanford-Sentiment-Treebank

rate customer reviews

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

coder-backend/Predict-Job-Title-and-skills

Job Prediction given job description and skills

Language: Jupyter Notebook - Size: 324 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

chinmoyt03/Deep-Learning-Based-Diabetes-Risk-Analysis

Data Science Project: Comparing 3 Deep Learning Methods (CNN, LSTM, and Transfer Learning).

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harshraj11584/Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

Language: Python - Size: 58.6 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 22 - Forks: 6

v-iashin/CS231n

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

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spaceshark123/NeuralNetwork

flexible and extensible implementation of a multithreaded feedforward neural network in Java including popular optimizers, wrapped up in a console user interface

Language: Java - Size: 96.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

mirshaeek/Automatic-Identification-of-Pipeline-Defects-YoloV8-Ultralytics

i have used 6 defect types which are common in pipeline defect detection.

Language: Python - Size: 5.95 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0