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Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

https://github.com/neerajcodes888/cat-vs-dog-image-classification

Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation

cats-vs-dogs cats-vs-dogs-classification deep-learning deep-neural-networks googlecolaboratory imageclassification python3

Last synced: 31 Jan 2025

https://github.com/sergio11/breast_cancer_diagnosis_mlp

πŸ©ΊπŸ”¬ MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. πŸ“ŠπŸ€–

deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify

Last synced: 07 Feb 2025

https://github.com/tinh2044/plantdisease_classification

Transfer learning efficientNet to classification disease on plants. Build web application with React and FastAPI

computer-vision convolutional-neural-networks deeeepio deep-learning deep-neural-networks efficientnet plant-disease-detection

Last synced: 07 Feb 2025

https://github.com/chaitanyac22/multi-input-multi-output-mnist-image-digit-and-summed-output-classification

The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.

cnn-classification data-visualization deep-neural-networks exploratory-data-analysis functional-api image-data-generator image-processing keras mnist-classification model-building model-evaluation multi-inputs multi-outputs python3 tensorflow

Last synced: 01 Feb 2025

https://github.com/ali-el-badry/pothole-detection

A deep learning-based project for detecting potholes in road surfaces using computer vision. Utilizes YOLO models for accurate, real-time pothole detection from images and videos, with a custom dataset and data augmentation techniques. Ideal for applications in road maintenance, autonomous vehicles, and insurance assessments.

deep-learning deep-neural-networks object-detection pothole-detection potholes yolo

Last synced: 01 Feb 2025

https://github.com/wilhelmagren/pychess

Terminal User Interface for playing chess. Either against your friend or the Deep CNN limited look ahead agent.

ai autoencoder chess classification convolutional-neural-networks deep-learning deep-neural-networks machine-learning pygame python-chess pytorch regression

Last synced: 08 Feb 2025

https://github.com/iamgmujtaba/gif-celeba

A complete guide on how to generate animated images by detecting character face and gender using the CNN model.

celeba cnn-classification cnn-keras deep-neural-networks keras keras-tensorflow

Last synced: 09 Feb 2025

https://github.com/sebukpor/breast-cancer-classification

this model classifies breast cancer as either benign or malignant

deep-learning deep-neural-networks tensorflow tensorflowjs

Last synced: 22 Dec 2024

https://github.com/nightmachinery/mlp_from_scratch

A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.

deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy

Last synced: 31 Dec 2024

https://github.com/motykatomasz/deepimageprior

Project reproducing part of "Deep Image Prior" paper, conducted for Deep Learning course (CS4240) at TU Delft.

cnn deep-learning deep-neural-networks pytorch

Last synced: 08 Feb 2025

https://github.com/chengetanaim/customer-churn-prediction

Customer churn is the loss of customers or subscribers for any reason at all. In this project I was predicting customer churn using artificial neural networks.

artificial-neural-networks deep-learning deep-neural-networks keras machine-learning pandas pandas-dataframe tensorflow2

Last synced: 23 Dec 2024

https://github.com/kowshik24/predictstock

πŸš€ StockSage: Predicting Tomorrow's Stocks, Today! 🌌 Dive deep into the future of stock prices with StockSage! Powered by LSTM networks, this repository is a treasure trove for those looking to explore the intricacies of stock price predictions. πŸ“ˆβœ¨ πŸ”— Live App: https://stocksage.streamlit.app/

data-science data-visualization deep-neural-networks lstm stock-market streamlit tensorflow

Last synced: 06 Feb 2025

https://github.com/justanhduc/improved-wgan

A Theano implementation of Improved WGAN

deep-learning deep-neural-networks gan

Last synced: 04 Feb 2025

https://github.com/mohammad95labbaf/lung-segmentation

The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.

chest-xray-images chest-xrays cnn cnn-keras convolutional-neural-networks deep-learning deep-neural-networks deeplearning depthwise-separable-convolutions depthwiseseparableconvolution lung-disease lung-segmentation segment segmentation x-ray-images

Last synced: 13 Jan 2025

https://github.com/justanhduc/sngan

A Theano implementation of Spectral Normalized GAN

deep-learning deep-neural-networks gan theano

Last synced: 04 Feb 2025

https://github.com/ztrimus/digit-recognition-from-scratch-neural-network

Avoided use of Built-in Models, function in Pytorch. Used Pytorch API and MNIST Dataset.

deep-learning deep-neural-networks machine-learning neural-network python

Last synced: 22 Jan 2025

https://github.com/chaitanyak77/optimal-detection-of-diabetic-retinopathy-severity-using-attention-based-cnn-and-vision-transformers

This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.

cnn-classification deep-neural-networks diabetic-retinopathy-detection image-processing transformers vision-transformer

Last synced: 16 Jan 2025

https://github.com/wa-lead/virtual_screnning_using_cnns

Using Chemception to predict the activity of molecules against aid_686978. Taking this further to visualize kernels decision process through Grad-CAM.

deep-neural-networks drug python tensorflow

Last synced: 26 Jan 2025

https://github.com/sadmansakib93/arctic-mammal-classification

Deep learning model for acoustic detection and classification of Bowhead whales. This repo contains code for the binary classification model, two classes are: Bowhead whales (BH), Other/background.

annotations audio-analysis audio-classification classification deep-learning deep-neural-networks machine-learning python spectrogram tensorflow

Last synced: 12 Jan 2025

https://github.com/aaleksandraristic/innovative-skin-cancer-screening-iscs-utilizing-cnn-models

The goal of this project is to employ deep learning models and advanced techniques to identify abnormalities by analyzing images of the skin tissues.

cnn-classification cnn-keras cnn-model convolutional-neural-networks deep-neural-networks densenet googlenet-inception-network image-classification image-processing python resnet

Last synced: 16 Jan 2025

https://github.com/tariqdaouda/abyme

Fractals for Deep and Sophisticated (Training) Loops

deep-learning deep-neural-networks deeplearning

Last synced: 01 Jan 2025

https://github.com/dhrupad17/understanding-deep-learning-through-projects

This repository encapsulates a hands-on approach to mastering the intricate concepts of deep learning. Through practical engagement with real-world projects, learners immerse themselves in the nuances of neural networks, optimization techniques, and model architectures. This methodology fosters a profound comprehensio

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks lstm-neural-networks project-repository recurrent-neural-networks

Last synced: 16 Jan 2025

https://github.com/omerbsezer/basicrnn

The aim of this implementation is to help to learn structure of basic RNN (RNN cell forward, RNN cell backward, etc..)

deep-learning deep-neural-networks rnn tutorial-code

Last synced: 11 Nov 2024

https://github.com/celiabenquet/iaprproject

Image Analysis and Pattern Recognition

deep-neural-networks image-recognition

Last synced: 03 Jan 2025

https://github.com/minitechy/betavae_variants

beta-VAE variants trained using deep neural networks on the dSprites dataset with PyTorch

beta-vae deep-neural-networks disentanglement dsprites mig mutual-information pytorch sap

Last synced: 22 Jan 2025

https://github.com/wasay8/automatedgarbageimageclassifier

Implementation of CNN models(Resnet-34 and Resnet-50) to classify garbage images into 6 major categories for sustainable development and its disposability.

computer-vision deep-learning deep-neural-networks feature-engineering image-processing unstructured-data

Last synced: 01 Feb 2025

https://github.com/andredarcie/chatbot-tensorflow

Chatbot desenvolvido em Tensorflow para responder perguntas do Stackoverflow sobre Python

data-science deep-learning deep-neural-networks kaggle machine-learning python stackoverflow tensorflow text-mining

Last synced: 09 Jan 2025

https://github.com/ravisha-144/dl_practice

This repository follows the tutorials of the DL1 course at the UvA

deep-learning deep-neural-networks jax pytorch tensorflow

Last synced: 22 Jan 2025

https://github.com/andersonjesusvital/speech-recognition-rnn

Deep learning-based subtitle generation model that processes audio datasets to generate accurate text transcriptions. Includes audio feature extraction, encoder-decoder architecture, training pipelines, and evaluation metrics for subtitle alignment.

deep-neural-networks dnn gated-recurrent-units gru lstm online-speech-recognition recurrent-neural-networks rnn rnn-tensorflow rnnt sequence-to-sequence speech-to-text tensorflow transformer-transducer

Last synced: 01 Feb 2025

https://github.com/robmesseng/mlop_2.0

Proyecto de predicciΓ³n de imagen mediante Deep Learning, control de versiones con git, control de data con DVC, exportaciΓ³n de modelos con ONNX, uso de FastAPI y uso de Docker para paquetizar. Despliegue en Azure App Services

azure-app-service deep-neural-networks dlops dvc machine-learning mlops pytorch-lightning weights-and-biases

Last synced: 09 Feb 2025

https://github.com/kaocc/nerf_2d

Experiments of 2D NeRF (Neural Radiance Fields)

deep-neural-networks nerf

Last synced: 14 Jan 2025

https://github.com/donggeunyu/deep-learning-examples

Deep Learning의 μ—¬λŸ¬ 예제λ₯Ό μ •λ¦¬ν•œ 것!

deep-learning deep-learning-tutorial deep-neural-networks deeplearning python

Last synced: 16 Jan 2025

https://github.com/ahmad-ali-rafique/yolo-helmet-detection-app

This project implements a helmet detection system using YOLOv3 (You Only Look Once) and Streamlit. The application allows users to upload an image and detect helmets in real-time. The system uses OpenCV and pre-trained YOLOv3 weights to identify helmets in uploaded images, displaying the results with bounding boxes and confidence scores.

artificial-intelligence datascience deep-neural-networks helmet-detection image-processing machine-learning modeling opencv streamlit-dashboard yolov3

Last synced: 16 Jan 2025

https://github.com/george-nyamao/keras-cnn-mnist-tuning

This repository illustrates model tuning using the Keras MNIST dataset with CNN.

convolutional-neural-networks deep-learning deep-neural-networks keras-tensorflow mnist-dataset

Last synced: 01 Feb 2025

https://github.com/aiaaee/california_housing

It's about California House value. the goal is find a great method to assemble reasonable train test based on MLP regression by using torch

data-science datasets deep-learning deep-neural-networks machine-learning machine-learning-algorithms python

Last synced: 23 Dec 2024

https://github.com/shivamgupta92/sih1477_project_smartindiahackathon

Deploying human soldiers in hazardous environments comes with significant risks, including injuries, fatalities, and potential loss of critical military intelligence due to human errors.

deep-neural-networks figma fusion-360 html-css-javascript lidar raspberry-pi

Last synced: 11 Jan 2025

https://github.com/bilalhameed248/nlp-fake-news-classification

Fake News Classification using Naive Bayes, Passive-Aggressive (PA) Classifier and Artificia Neural Network (ANN)

artificial-neural-networks deep-learning deep-neural-networks embeddings machine-learning naive-bayes-classifier nlp nlp-basic passive-aggressive-classifier

Last synced: 16 Jan 2025

https://github.com/camara94/face_recognition

In this project, will learn the concept to implement face recognition problem.

deep-learning deep-neural-networks face-detection face-recognition machine-learning tensorflow2

Last synced: 23 Dec 2024

https://github.com/crispengari/ml-utils

πŸ’Ž This repository contains some helper functions that helps you speed your machine learning code everyday. It also contains some useful basic knowledge about machine learning, it's behavior, how it started etc. It's a bag of machine learning things basically.

deep-learning deep-neural-networks machine-learning utils

Last synced: 09 Feb 2025

https://github.com/crispengari/nmt

πŸŽ— Neural Machine Translation (nmt) repository contains an end-to-end deep artificial neural network for machine translation and language identification based on south-african-languages.

api artificial-intelligence artificial-neural-networks datascience deep-learning deep-neural-networks flask graphql javascript json jupyter-notebook machine-learning natural-language-processing nlp nmt nueral-machine-translation python rest-api tweepy

Last synced: 09 Feb 2025

https://github.com/privatepeople/machinelearning-deeplearning

λ¨Έμ‹ λŸ¬λ‹κ³Ό λ”₯λŸ¬λ‹ 곡뢀λ₯Ό μœ„ν•œ μ €μž₯μ†Œ

deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow

Last synced: 15 Jan 2025

https://github.com/vutrong826/yolov8-brain-tumor-segmentation

Brain tumor segmentation using YOLO architecture for fast and accurate detection.

cnn deep-learning deep-neural-networks python python3 segmentation tumor-segmentation yolov8 you-only-look-once

Last synced: 09 Feb 2025

https://github.com/asim-2000/kaggling

This repository contains source code of the kaggle competitions in which I participated

deep-learning deep-neural-networks kaggle-competition machine-learning reinforcement-learning

Last synced: 10 Jan 2025

https://github.com/alejandromeyer/images-and-deep-learning

Exercise of image creation with Deep Learning. Artificial neurons.

deep-learning deep-neural-networks image-processing

Last synced: 09 Feb 2025

https://github.com/aaleksandraristic/intelligent-ecg-diagnostic-system-based-on-cnn-models

Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.

classification-algorithm cnn-keras cnn-model convolutional-neural-networks deep-learning deep-neural-networks ecg-classification ecg-signal image-classification image-preprocessing machine-learning resnet resnet-50 vgg16 vgg16-model

Last synced: 16 Jan 2025

https://github.com/rahulbhoyar1995/coursera-ml-specialisation-certification

Explore my journey through the Coursera Machine Learning Specialization with this repository. Access practice materials, code implementations, and learning notes to enhance your understanding of machine learning concepts.

deep-learning deep-neural-networks machine-learning machine-learning-algorithms python3 reinforcement-learning-algorithms supervised-learning unsupervised-learning

Last synced: 15 Jan 2025

https://github.com/rahulbhoyar1995/ner-case-study

This repositiry contains the code for Case study of "Named-Entity Recognition" in Natural Language Processing.

deep-neural-networks natural-language-processing ner

Last synced: 15 Jan 2025

https://github.com/heet9022/ye-kiski-tasweer-hai

A platform for training, labeling and retraining image classification models.

deep-neural-networks image-classification platform resnet

Last synced: 06 Feb 2025

https://github.com/tushard702/sentiment-analysis

Sentiment analysis is the automated process of understanding an opinion about a given subject from written or spoken language. Implemented using RNN

deep-neural-networks machine-learning python

Last synced: 01 Jan 2025

https://github.com/mwanginjuguna/deeplearning-with-fast-ai

Exploring Deep Learning on Kaggle.com. Mainly through the eyes of Practical deep learning for coders with Jeremy Howard on fast.ai

deep-neural-networks fastai ml pytorch

Last synced: 13 Jan 2025

https://github.com/satya04m/recommender-system

The Recommender-System project is a machine learning-based application designed to predict user preferences and provide personalized recommendations. It leverages various algorithms, such as collaborative filtering and content-based filtering, to analyze user data and suggest relevant items. The project also includes a CI/CD pipeline for automating

deep-learning deep-neural-networks mse neural-network python recommendation-system rmse-score

Last synced: 22 Jan 2025

https://github.com/atharvapathak/hand_gesture_recognition_case_study

This project involves building a 3D Convolutional Neural Network (CNN) to correctly recognize hand gestures by a user to control a smart TV using 3D-CNN and 2D-CNN + RNN/LSTM/GRU.

cnn deep-neural-networks gesture-recognition machine-learning palm-detection python pytorch resnet tensorflow video-processing

Last synced: 15 Jan 2025

https://github.com/malolm/educationnal-neural-network-framework

Python implementation of an artificial neural network aimed at deeply mastering the underlying concepts that drive neural networks. This project is inspired by Andrej Karpathy and Russ Salakhutdinov.

deep-neural-networks mnist-classification python3

Last synced: 13 Dec 2024

https://github.com/sloppycoder/coursera_tf_in_practice

Notebook for Coursera Tensorflow in Practices courses

deep-learning deep-neural-networks python tensorflow

Last synced: 11 Jan 2025

https://github.com/saikat-roy/deep-convolutional-gan

DCGAN implemented as part of the Deep Learning for Computer Vision course at the University of Bonn (WS 2018/19)

dcgan deep-learning deep-neural-networks generative-adversarial-network

Last synced: 23 Dec 2024

https://github.com/piero24/lossfuncition-4sn

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei

Last synced: 08 Jan 2025

https://github.com/ardawanism/a-tour-of-pytorch

In this repo, an introductory tutorial on PyTorch is provided. You can learn about the basics of PyTorch alongside defining and training deep neural networks consisting of different layer types such as fully-connected, convolutional, and etc.

convolutional-neural-networks deep-learning deep-neural-networks deeplearning multilayer-perceptron neural-network neural-networks pytorch pytorch-tutorial

Last synced: 09 Feb 2025