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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/olitheolix/ds2data

Space Sim Inspired Data Set for Machine Learning Purposes

3d-models deep-learning deep-neural-networks machine-learning space-sim tensorflow

Last synced: 02 Jan 2025

https://github.com/vpanjeta/self-driving-car

A Program for the implementation of Udacity's nano degree on self driving cars

cnn cnn-keras computer-vision deep-learning deep-neural-networks self-driving-car udacity

Last synced: 28 Dec 2024

https://github.com/estevesx10/ml2-urban-sound-classification

Urban Sound Classification [Machine Learning II Course Project]

deep-neural-networks sound-classification

Last synced: 08 Feb 2025

https://github.com/sayannath/linear-app

An ANN model is built and trained and exported to tflite format. Then it is integrated into Android App.

android ann deep-learning deep-neural-networks java keras machine-learning tensorflow tflite

Last synced: 05 Feb 2025

https://github.com/vanditg/image_analytics_task_ai_australia

This repository contains solutions or files of my attempt for the AI Austraial task of Image Analytics. The submission language is Python.

blurred-background bounding-boxes computer-vision deep-learning deep-neural-networks face-detection face-quality facial-expression-recognition haarcascade-frontalface

Last synced: 22 Dec 2024

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 25 Dec 2024

https://github.com/redayzarra/cnn_trafficsigns

This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.

classification classification-model computer-vision deep-learning deep-neural-networks lenet lenet-5 lenet-architecture machine-learning model-evaluation model-selection

Last synced: 26 Jan 2025

https://github.com/agamiko/neural-based-data-augmentation

Improving generalization via style transfer-based data augmentation: Novel regularization method

cnn data-augmentation database deep-learning deep-neural-networks image-classification image-synthesis paper skin-lesions style-transfer

Last synced: 31 Jan 2025

https://github.com/m0hc3n/happy-or-sad-detection-deep-learning-model

This is a simple deep learning model to detect whether a person is happy or sad.

body-recognition convolutions deep-learning deep-neural-networks face-recognition-opencv

Last synced: 08 Jan 2025

https://github.com/edwildson/facerecognition

Projeto de reconhecimento de face e sentimentos, feito com Django e ML

deep-neural-networks django face-detection face-recognition machine-learning opencv python

Last synced: 08 Jan 2025

https://github.com/iinjyi/hands-on-neural-networks

A series of hands-on notebooks for beginners in neural networks. [To be updated]

ai cnn computer-science deep-learning deep-neural-networks lstm maths neural-networks python pytorch rnn transfer-learning

Last synced: 30 Dec 2024

https://github.com/milankinen/c2w2c

C2W2C language model from my Master's Thesis

deep-learning deep-neural-networks keras nlp recurrent-neural-networks theano

Last synced: 19 Jan 2025

https://github.com/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

classification deep-neural-networks feedforward-neural-network machine-learning tabnet

Last synced: 05 Feb 2025

https://github.com/keyurparalkar/cifar-10

ConvNet implementation for CIFAR-10 dataset using pytorch

convolutional-neural-networks deep-learning deep-neural-networks lenet-architecture pytorch

Last synced: 30 Dec 2024

https://github.com/suhani1209/mobile-gallery-image-classifier

Distinguishes the mobile gallery's images into various sets such as whatsapp documents, nature, cars, screenshots, the machine learns itself and predicts the results with an accuracy of 97.6%

cnn deep-learning deep-neural-networks image-classification object-classification python

Last synced: 25 Dec 2024

https://github.com/autrainer/aucurriculum

A Curriculum Learning Toolkit for Deep Learning Tasks built on top of autrainer.

autrainer computer-audition computer-vision deep-learning deep-neural-networks pytorch

Last synced: 19 Nov 2024

https://github.com/mohammad95labbaf/energyprediction-arima-transformer

This report investigates the energy consumption prediction using time series analysis and deep learning methodologies. The extracted features and implemented transformer model demonstrate a high predictive accuracy.

arima arma deep-learning deep-neural-networks deeplearning feature-extraction feature-selection lstm lstm-neural-networks prediction time-series time-series-analysis timeseries transformer

Last synced: 13 Jan 2025

https://github.com/clberube/gims

Command line interface for geospatial image segmentation

deep-neural-networks geospatial-analysis segmentation unet

Last synced: 21 Jan 2025

https://github.com/kalthommusa/face-mask-application

Develop a custom classifier with PyTorch and transfer learning techniques to recognize face masks, and then deploy it as a web application using Code Engine on IBM cloud.

cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks face-mask-classification image-classification image-recognition python pytorch resnet-18 transfer-learning

Last synced: 17 Jan 2025

https://github.com/kalthommusa/stop-signs-application

Develop a custom classifier with PyTorch and transfer learning techniques to recognize stop signs, and then deploy it as a web application using Code Engine on IBM cloud.

cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks image-classification image-recognition python pytorch resnet-18 stop-sign-detection transfer-learning

Last synced: 17 Jan 2025

https://github.com/coditheck/tensorflow

TensorFlow is an open source Machine Learning library, created by Google, for developing and running Machine Learning and Deep Learning applications.

deep-learning deep-neural-networks keras machine-learning neural-network python tensorflow tensorflow-tutorials

Last synced: 21 Dec 2024

https://github.com/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab

This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.

activation-functions artificial-intelligence deep-learning deep-neural-networks gaussian-process-regression image-recognition kernel-regression machine-learning-algorithms neural-network reproducing-kernel-hilbert-space support-vector-machine

Last synced: 25 Dec 2024

https://github.com/spy16/cats-and-dogs

cats-and-dogs is a Convolutional Neural Network for classifying cats and dog pictures.

classification convolutional-neural-networks deep-neural-networks

Last synced: 01 Jan 2025

https://github.com/spy16/churn-prediction

Customer churn prediction using Deep Neural Network.

deep-neural-networks keras-neural-networks keras-tensorflow prediction-model

Last synced: 01 Jan 2025

https://github.com/cloaky233/binary-classifier-cnn

A Convolutional Neural Network (CNN) implementation using PyTorch and TensorFlow/Keras to classify images of cats and dogs. This project includes training scripts, model architectures, and instructions for easy setup and usage.

binaryclassification deep-learning deep-neural-networks pytorch

Last synced: 20 Jan 2025

https://github.com/ashraf-khabar/licence-plate-recognition

About The realization of a radar system for the detection of vehicle license plates is an innovative and ambitious technological project that aims to improve road safety and facilitate the identification of vehicles in traffic

ai deep-learning deep-neural-networks flask flask-api machine-learning machine-learning-algorithms oracle-database oracle-db python python3 shell sql tensorflow

Last synced: 21 Jan 2025

https://github.com/wodenwang820118/music_genre_multiclass_classification

The multiclass classification sometimes gets poor results. The repository attempts to use comet_ml to grid search and find the best hyperparameters and concatenate different models for training a better model. The goal is to classify the music genres.

deep-learning deep-neural-networks machine-learning multiclass-classification music-genre-classification

Last synced: 11 Jan 2025

https://github.com/paragghatage/artify

Artify is a Neural Style Transfer project that blends the artistic patterns of a style image with the content of another image using deep learning techniques. It leverages the VGG19 model to extract content and style features, enabling the creation of visually stunning artwork that merges textures, colors, and patterns from different sources.

art computer-vision deep-learning deep-neural-networks machine-learning

Last synced: 18 Dec 2024

https://github.com/victordibia/neuraldreams

Visual Exploration of Representations Learned by Convolutional Neural Networks

cnn deep-learning deep-neural-networks explainability visualization

Last synced: 10 Jan 2025

https://github.com/gsauc3/pytorch-model-details

Package to visualize all the layer parameters of a deep learning model.

cnn-model deep-learning deep-neural-networks model-summary pytorch summary

Last synced: 30 Dec 2024

https://github.com/ahammadmejbah/the-90-day-pytorch-mastery-roadmap

Embark on a 90-day journey to master PyTorch! From tensor basics to advanced deep learning, each day offers lessons, hands-on exercises, and curated resources. Gain practical skills to confidently build, train, and deploy models across diverse applications.

ai artificial-intelligence data-engineering data-science data-visualization deep-learning deep-learning-algorithms deep-neural-networks python python-3 pytorch pytorch-cnn pytorch-gan pytorch-implementation pytorch-nlp pytorch-tutorial

Last synced: 20 Jan 2025

https://github.com/ondrejbiza/vae

Variational autoencoders implemented in Tensorflow.

deep-learning deep-neural-networks tensorflow variational-autoencoders vq-vae

Last synced: 08 Jan 2025

https://github.com/jash271/beans_disease_classifier

Classifier to predict whether a plant is infected if so which diseases does it have

cnn-keras deep-neural-networks image-classification tensorflow-tutorials tensorflow2 transfer-learning

Last synced: 24 Jan 2025

https://github.com/hsprcode/audio-signal-classification-using-convolutional-neural-networks

Extracted features and classified GTZAN Dataset via deep neural networks with reduced number of parameters and achieved a maximum of 81.62% classification accuracy using 1D-CNN.

audio-analysis audio-processing convolutional-neural-networks deep-neural-networks musicgenre python

Last synced: 18 Dec 2024

https://github.com/chaitanyak77/comparative-study-tensorflow-vs.-custom-neural-network-models

This repository presents a comprehensive comparative study that delves into the weights and biases of both inbuilt and custom-built Sequential Neural Network (SNN) models. The primary objective is to gain a deeper understanding of the differences and nuances between these two approaches.

custom-neural-network-training deep-neural-networks neural-network snn

Last synced: 16 Jan 2025

https://github.com/samanyougarg/dl-mnist

Deep Learning on the MNIST Handwritten Digits Dataset.

deep-learning deep-neural-networks keras mnist python tensorflow

Last synced: 06 Feb 2025

https://github.com/tanishqjasoria/deeplearning

Implementation of some Neural Network architecture using Numpy, TensorFlow and Keras.

convolutional-neural-networks deep-learning deep-neural-networks residual-learning tensorflow transfer-learning

Last synced: 23 Dec 2024

https://github.com/kevin-patyk/tensorflow-developer-course

This is the repository containing scripts and materials from the course TensorFlow Developer Certificate in 2023: Zero to Mastery on Udemy.

classification convolutional-neural-networks deep-learning deep-neural-networks machine-learning neural-network numpy pandas python recurrent-neural-networks regression tensorflow transfer-learning

Last synced: 06 Feb 2025

https://github.com/akash-nath29/image-classifier

A Machine Learning Model capable to detect person's mood (happy or sad) from image

deep-neural-networks dnn keras keras-neural-networks keras-tensorflow machine-learning tensorflow tensorflow-models

Last synced: 20 Dec 2024

https://github.com/marcogdepinto/panoramamodelserving

Using Java and deeplearning4j to serve a Keras model.

deep-learning deep-neural-networks deeplearning deeplearning4j java keras python

Last synced: 17 Dec 2024

https://github.com/nikhilcodes/draw-anywhere

Not just any simple Digit Recognition. MNIST Digit Recognition got lot more Interesting!

computer-vision cv2 deep-learning deep-neural-networks drawing-app illusion keras-neural-networks opencv opencv-python

Last synced: 17 Dec 2024

https://github.com/ducthienbui97/pokedex

I am making a real pokedex with a model 85% accuracy top 1, 91% top 3, 93% top 5

classifier cnn cnn-keras deep-learning deep-neural-networks jupyter-notebook keras pokemon python tensorflow

Last synced: 17 Dec 2024

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: 16 Dec 2024

https://github.com/yannick-kees/mlp

Build MLP from scratch only using Numpy. Able to perform simple supervised learning problems in any dimension and with variable layer configurations. It can also be used for Auto-Encoder problems.

autoencoder deep-learning deep-neural-networks mlp numpy-tutorial

Last synced: 23 Jan 2025

https://github.com/pathak-ashutosh/liver-segmentation

Segment liver using unet architecture. This was a project I did for a senior anonymously as his final year project during my undergrad.

biomedical-image-processing computer-vision deep-learning deep-neural-networks machine-learning neural-network segmentation unet-image-segmentation

Last synced: 02 Jan 2025

https://github.com/daelsepara/deeplearningcpp

C++ Implementation of Machine Learning Toolbox (deep neural networks and convolutional neural networks)

convolutional-neural-networks deep-neural-networks machine-learning-toolbox

Last synced: 29 Dec 2024

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 05 Jan 2025

https://github.com/iwas-coder/guanaco

A simple, uncomplicated, multilayered Neural Network framework written in pure C.

ai ai-models c deep-learning deep-neural-networks header-only neural-network stb

Last synced: 28 Nov 2024

https://github.com/extwiii/ml-university.of.washington

Build Intelligent Applications - ML - University of Washington - Coursera

classification deep-learning deep-neural-networks machine-learning python regression svm washington-university

Last synced: 28 Jan 2025

https://github.com/arif-miad/image-classification

pre-trained image classification models use prior knowledge to recognize patterns in images, speeding up training and improving accuracy.

computer-vision deep-neural-networks kaggle-dataset keras python pytorch resnet-50 tensorflow transfiterlearning vgg19

Last synced: 06 Feb 2025

https://github.com/dhrupad17/100-days-of-deep-learning

Its the practice repository covering all the concepts @campusx-official has covered in his playlist in much detailed way.

cnn deep-learning deep-neural-networks lstm-neural-networks mlp-networks perceptron rnn

Last synced: 16 Jan 2025

https://github.com/rvats20/ml-scikit-learn

This repo contains notebooks to learn ML Models and apply them in real world problems.

artificial-intelligence classification deep-learning deep-neural-networks machine-learning machine-learning-algorithms notebook notebook-jupyter

Last synced: 06 Feb 2025

https://github.com/leehanchung/deeplearning.ai

Coursera Deeplearning.ai Deep Learning Specialization

coursera deep-learning deep-neural-networks neural-networks tensorflow

Last synced: 08 Jan 2025

https://github.com/codewithashim/face-recognition-system

The Face Recognition System is a cutting-edge software application powered by state-of-the-art machine learning techniques. Experience accurate identification and verification of human faces in images and real-time video streams.

access-control biometrics codewithahsim deep-neural-networks face-recognition facial-detection facial-identification opencv opencv-python python python-3 real-time-face-recognition scalable-face-recognition security security-tools surveillance

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/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/monzerdev/real-time-sign-language-detection

A real-time detection system for sign language alphabets and numeric gestures using MediaPipe and a Convolutional Neural Network (CNN). Features hand landmark detection, classification, and real-time feedback.

cnn computer-vision convolutional-neural-networks deep-learning deep-neural-networks mediapipe opencv pandas python pytorch real-time scikit-learn signlanguagedetection

Last synced: 01 Jan 2025

https://github.com/markus28/ml-library

Java Implementation of Machine-Learning Algorithms

classification clustering deep-learning deep-neural-networks kmeans machine-learning

Last synced: 26 Jan 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/sreeeswaran/text-generation-using-t5

This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.

ai artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks neural-networks t5 t5-model text-generation text-generation-using-t5 text-to-text text-to-text-generation text-to-text-transfer-transformer text-to-text-transformer tranformers

Last synced: 22 Jan 2025

https://github.com/angelognazzo/Reliable-Trustworthy-AI

Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks

computer-vision deep-learning deep-neural-networks reliable-ai robust-machine-learning

Last synced: 17 Nov 2024

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/arif-miad/introduction-to-open-cv

Computer vision is a field of study focused on enabling computers to interpret and understand the visual world. OpenCV provides a comprehensive set of tools and algorithms for various tasks in computer vision, including image and video processing, object detection and tracking, facial recognition, augmented reality, and mor

data-science deep-neural-networks

Last synced: 14 Jan 2025

https://github.com/jefferyustc/miscan_cli

MiScan: mutation-inferred screening model of cancer | Apache Software License

bioinformatics deep-learning deep-neural-networks

Last synced: 21 Jan 2025

https://github.com/vara-co/deep-learning-challenge

The purpose of this analysis is to develop a deep learning model using TensorFlow and Keras to predict which applicants have the best chances of success if funded by Alphabet Soup, a nonprofit organization.

deep-learning deep-neural-networks deeplearning machine-learning predictions

Last synced: 02 Feb 2025

https://github.com/sergio11/breast_cancer_diagnosis_mlp

🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖

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

Last synced: 07 Feb 2025

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/mohammad95labbaf/brain-tumor-transferlearning

The Brain Tumor MRI Dataset from Kaggle is employed for automated brain tumor detection and classification research. Investigated methods include using pre-trained models (VGG16, ResNet50, and ViT). 🧠🔍

cnn cnn-keras deep-learning deep-neural-networks deeplearning kaggle-dataset keras keras-tensorflow neural-network neural-networks pretrained-models resnet-50 transfer-learning tumor-classification tumor-detection vgg16 vision vision-transformer vit

Last synced: 13 Jan 2025

https://github.com/justanhduc/multar

The official implementation of the ICASSP paper "A simple way of multimodal and arbitrary style transfer"

deep-learning deep-neural-networks python style-transfer theano

Last synced: 04 Feb 2025

Deep neural networks Awesome Lists
awesome-deep-learning-papers 238 Machine-Learning-Tutorials 484 awesome-deep-learning-music 248 Awesome-Learning-with-Label-Noise 276 awesome-deep-trading 94 awesome-colab-notebooks 556 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 awesome-multi-task-learning 229 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 Awesome-Information-Bottleneck 201 awesome-gans-and-deepfakes 61 awesome-video-object-detection 41 awesome-deep-neuroevolution 200 awesome-deep-reinforcement-learning 257 awesome-deepneuroimage 73 awesome-ai-cancer 193 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-tensorial-neural-networks 99 awesome-graph-research-iclr2024 34 awesome-speech-emotion-recognition 119 awesome-ai-brain-computer-interface 111 LiDAR-Guide 176 awesome-deepnote 41 CoreML-Guide 333 awesome-ai-cybersecurity 153 Awesome-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 Deep-Learning 38 awesome-approximate-dnn 78 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 944 Uncategorized 551 Classification COVID19 (Separate section due to its current significance) 504 Papers & Code 423 Introduction 369 DL4M summary 358 Overview 320 Tutorials 235 Neural Networks (NN) and Deep Neural Networks (DNN) 201 Other useful related lists and resources 200 Research 199 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Paper: 98 Tools for Robotics 94 Further Reading 94 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Using AI for Pentesting 82