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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/daelsepara/deeplearningjs

AngularJS (1.7.x) implementation of the DeepNeuralNetworkClassifier project

angularjs deep-learning deep-neural-networks

Last synced: 29 Dec 2024

https://github.com/masasron/deepnet

DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.

classifier classifier-training deep-learning deep-neural-networks machine-learning nodejs

Last synced: 23 Jan 2025

https://github.com/ranpy13/portrait-blur-bokeh

Attempt to recreate the DSLR like portrait bokeh blur effect on any normal image using deep learning, resnet and unet.

bokeh deep-neural-networks opencv resnet unet-image-segmentation

Last synced: 11 Nov 2024

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: 15 Dec 2024

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: 06 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/ahmad-ali-rafique/weather-prediction-fcnn

This project demonstrates a complete pipeline for weather prediction using a Fully Connected Neural Network (FCNN). The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation.

ai artificial-intelligence data-analysis data-science deep-learning deep-neural-networks fully-connected-network machine-learning machine-learning-algorithms weather-information

Last synced: 16 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/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: 04 Dec 2024

https://github.com/sathyasris27/image-classification-using-dnn-and-cnn

The main aim of this project is to understand and implement deep neural network (DNN) and convolutional neural network (CNN) and see how these can be used for classification problems.

classification convolutional-neural-networks data-science deep-learning deep-neural-networks image-classification python

Last synced: 10 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/poodarchu/models.tf

papers implementation during learning dl and tensorflow.

deep-neural-networks tensorflow transfer-learning

Last synced: 30 Nov 2024

https://github.com/rabbicse/face-app

A Face recognition system using TensorFlow.js for in-browser image processing and backend services powered by PyTorch, Qdrant, RetinaFace, ArcFace, and OpenCV for detection, embedding, and similarity matching. This setup ensures efficient, secure, and accurate facial recognition.

arcface deep-neural-networks docker docker-compose face-detection face-recognition machine-learning nextjs numpy opencv python pytorch react retinaface tensorflowjs typescript typescript-react

Last synced: 09 Jan 2025

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/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/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/kingabzpro/mrna-vaccine-degradation-prediction

The model that will predict the degradation rates at each base of an RNA molecule.

covid-19 data-science deep-neural-networks mrna-stability vaccine

Last synced: 17 Jan 2025

https://github.com/ynstf/moboot

Moboot is a chatbot developed in Moroccan Darija, Based on a collection of Moroccan phrases and responses, Moboot has been trained to engage in relatively short conversations with users.

api boot css darija-nlp deep-neural-networks flask html neural-network nlp

Last synced: 11 Jan 2025

https://github.com/nobuyuki83/dnn_classify

object classification using deep neural network

classification deep-learning deep-neural-networks neural-network

Last synced: 04 Jan 2025

https://github.com/wapiti08/machine_learning_practice

the collections to practice the wide range of different machine learning skills

deep-neural-networks machine-learning nlp-machine-learning security-automation sklearn

Last synced: 04 Jan 2025

https://github.com/zjysteven/awesome-byte-llm

A curated list of papers and resources on byte-based large language models (LLMs) — models that operate directly on raw bytes.

awesome-list byte-llms deep-learning deep-neural-networks foundation-models large-language-models machine-learning multimodal-large-language-models research-paper tokenization-free transformers

Last synced: 20 Dec 2024

https://github.com/norman-thomas/coursera-deep-learning

My implementation of assignments of the Coursera Deep Learning course and specialization

artificial-intelligence coursera deep-learning deep-neural-networks neural-networks

Last synced: 09 Jan 2025

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/jstzwj/traph

An open-source machine learning platform

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

Last synced: 14 Dec 2024

https://github.com/travelxml/tensorflow-and-keras-sentiment-analysis-using-rnn

NLP: Sentiment Analysis using TensorFlow and Keras: This project implements a Recurrent Neural Network (RNN) to classify Amazon product reviews into different sentiment categories. It leverages text preprocessing, tokenization, and model training to predict the sentiment with high accuracy.

deep-learning deep-neural-networks deeplearning keras keras-tensorflow nlp rnn rnn-tensorflow sentiment-analysis tenserflow

Last synced: 21 Dec 2024

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: 12 Dec 2024

https://github.com/abhiramdodda/two-stage-plant-diesease-detection

In this repo a two stage plant disease detection is introduced which reduces time required for training and gives greater accuracy.

deep-neural-networks efficientnet image-processing tensorflow

Last synced: 12 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/mozturan/mlanddl-withwebapp

Web app to perfom machine learning algorithms (both for regression and classification) on almost ready datasets.

decision-trees deep-learning deep-neural-networks heatmap linear-regression logistic-regression machine-learning streamlit web-application

Last synced: 23 Dec 2024

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/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/vidhi1290/image-inpainting

🎨 Restore images flawlessly with our Image Inpainting Showcase! Using Convolutional Neural Networks, we revive corrupted parts. Explore code, models, and innovation for visual perfection. Join the AI journey of artistry and magic! 🖼️🔮 #ImageInpainting

artificial-intelligence artificial-neural-networks cifar10 computer-vision datascience datavisualization deep-learning deep-neural-networks humanfacedetection image-inpainting kaggle lfw-dataset machine-learning machine-learning-algorithms mnist-handwriting-recognition neural-networks python

Last synced: 08 Dec 2024

https://github.com/vidhi1290/face-recognition-system-in-python-using-facenet

Dive into the world of computer vision! Our Image Classification from Video project uses advanced techniques to identify faces in images and videos. Explore video processing, face extraction, and deep learning magic. Join the adventure now! 👩‍💻📸"

computer-vision data-visualization deep-learning deep-neural-networks face-detection friends-dataset haar-cascade-classifier image-classification image-recognition opencv pretrained-models python vggface video-processing

Last synced: 08 Dec 2024

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/gokulnpc/fashion-mnist-gan

This script outlines the implementation of a Generative Adversarial Network (GAN) designed to generate fashion images using the Fashion MNIST dataset. The GAN consists of a generator and a discriminator, which are trained simultaneously in an adversarial manner.

deep-learning deep-neural-networks fashion-mnist generative-adversarial-network

Last synced: 07 Dec 2024

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/barbarpotato/sentiment-analysis-bangkit-capstone-project

This Project was from Bangkit Capstone Project, the goal from this repository, is to built the sentiment analysis to classified the sentence is it the positive or the negative sentiment about the specific event organizer review.

deep-learning deep-neural-networks h5 natural-language-processing sentiment-analysis tflite-models

Last synced: 11 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/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/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/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: 11 Dec 2024

https://github.com/sadmansakib93/petals-to-the-metal-flower-classification-kaggle

This notebook is the solution for Kaggle's Petals to the Metal - Flower Classification on TPU challenge: https://www.kaggle.com/c/tpu-getting-started

artificial-intelligence classification deep-learning deep-neural-networks densenet flower-classification kaggle kaggle-competition kaggle-petals keras keras-neural-networks notebook tpu-challenge transfer-learning

Last synced: 12 Jan 2025

https://github.com/gokulnpc/iris-detection

This project focuses on iris detection using deep learning techniques. The model architecture combines the power of ResNet152V2, a pre-trained convolutional neural network (CNN), with additional convolutional layers to accurately detect and localize iris regions in images.

convolutional-neural-networks deep-neural-networks iris-detection resnet

Last synced: 07 Dec 2024

https://github.com/amazon-science/contrastive_emc2

Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"

contrastive-learning deep-neural-networks machine-learning machine-learning-algorithms mcmc-sampling multi-modal multi-modal-learning

Last synced: 12 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/yididiyan/learning-tensorflow

Code for Learning TensorFlow, A guide to building deep learning systems

deep-learning deep-neural-networks tensorflow

Last synced: 27 Jan 2025

https://github.com/rambodrahmani/deep-learning

Final project for the Computational Intelligence and Deep Learning course at University of Pisa.

convolutional-neural-networks deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow point-cloud pointcloud pointclouds tensorflow2

Last synced: 29 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/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/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: 14 Dec 2024

https://github.com/irishfix/universalnumerics.net

UniversalNumerics.NET is a versatile .NET package that can be used both in Unity and in normal C# projects. It simplifies common computational tasks, such as computing 2D line intersections, 2D segment intersections, 2D point within queries, 2D triangulation of points, 3D area voxelization and even creating deep neural network models.

artifical-intelligence artificial-neural-networks computational-geometry csharp csharp-library deep-learning deep-neural-networks dotnet mathematics triangulation triangulation-delaunay unity unity3d

Last synced: 12 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/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/majsylw/chihuahua-vs-muffin

Excercises in Deep learning for polish students conducted in winter 2020/21 (polish). With cooperation with Wroclaw University of Technology and OPI. This repository based on materials from beginner's workshop for SJSU ML Club and facebook DETR.

classification deep-neural-networks linear-nn python3 pytorch tutorial-code

Last synced: 04 Dec 2024

https://github.com/ivanbgd/udacity-deep-learning-nd101

My solutions to the Udacity Deep Learning Nanodegree Foundation ND101 on-line course, with some examples in C, beside Python (https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101)

c deep-learning deep-neural-networks jupyter-notebook miniflow neural-networks python tensorflow udacity udacity-deep-learning udacity-nanodegree

Last synced: 08 Dec 2024

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/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/zubair-irshad/udacity_deep_rl

My solutions (with explanations) to the Udacity Deep Reinforcement Learning Nano Degree Program assignments, mini-projects and projects

ddpg-algorithm deep-neural-networks deep-q-network deep-reinforcement-learning dqn ppo pytorch reinforcement-learning unity-ml-agents

Last synced: 16 Jan 2025

https://github.com/ahmad-ali-rafique/handwritten-digit-recognition-mnist

This project demonstrates a complete pipeline for recognizing handwritten digits using the MNIST dataset. The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation of a Fully Connected Neural Network (FCNN).

ai artificial-intelligence data data-analysis datascience deep-learning deep-neural-networks fcnn fully-connected-network machine-learning machine-learning-algorithms ml modeling

Last synced: 16 Jan 2025

https://github.com/crispengari/cv-torch

computer vision notebooks for pytorch projects.

computer-vision deep-learning deep-neural-networks python pytorch torch

Last synced: 16 Dec 2024

https://github.com/toby-sanders-101/mydigits

Everything needed to create a AI bot that can read images

deep-neural-networks image-classification matplotlib numpy opencv pyautogui python

Last synced: 15 Jan 2025

https://github.com/coding-enthusiast9857/deep_learning_projects

Welcome to the Deep Learning Projects Repository! This repository is a collection of hands-on projects related to deep learning, covering a wide range of topics and applications.

ai ann cnn cv deep-learning deep-neural-networks dl gan image-processing keras ml nlp python pytorch rnn tensorflow transfer-learning

Last synced: 14 Jan 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 554 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-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 awesome-ai-cybersecurity 153 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 945 Uncategorized 552 Classification COVID19 (Separate section due to its current significance) 492 Papers & Code 420 Introduction 365 DL4M summary 358 Overview 312 Tutorials 240 Neural Networks (NN) and Deep Neural Networks (DNN) 202 Other useful related lists and resources 201 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Paper: 96 Tools for Robotics 94 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Paper (Lidar-based method) 80