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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/poodarchu/models.tf

papers implementation during learning dl and tensorflow.

deep-neural-networks tensorflow transfer-learning

Last synced: 30 Nov 2024

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/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/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: 20 Nov 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! πŸ‘©β€πŸ’»πŸ“Έ"

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/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 Nov 2024

https://github.com/mashiat12/synthetic_brain_image_generation

Synthetic images generated using deeplearning model (GANs) allows researchers to create realistic, diverse MRI images that can supplement or expand existing datasets without needing additional patient scans.

artificial-intelligence deep-learning deep-neural-networks gan gans generative-adversarial-network generative-ai image-processing imagegeneration machine-learning

Last synced: 30 Nov 2024

https://github.com/sreeeswaran/nst-for-artistic-image-creation

This project focuses on Neural Style Transfer (NST), a technique that applies the style of one image to the content of another image, creating a new, stylized image. NST leverages deep learning models, particularly Convolutional Neural Networks (CNNs), to extract and combine the content and style features of images.

artificial-intelligence artificial-neural-networks cnn cnn-model convolutional-neural-networks deep-learning deep-neural-networks image-generation machine-learning models neural-networks neural-style-transfer nst

Last synced: 22 Nov 2024

https://github.com/shivamgupta92/imageforgerydetection

Employing Error Level Analysis (ELA) and Edge Detection techniques, this project aims to identify potential image forgery by analyzing discrepancies in error levels and abrupt intensity changes within images.

deep-neural-networks densenet121 error-level-analysis forgery-detection jpeg-compression-technique

Last synced: 12 Nov 2024

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/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/faizantkhan/deep-learning

Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!

advanced-programming ai aiml beginner-friendly deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning deeplearning keras-tensorflow machine-learning-algorithms machinelearning-python neural-networks open-source opencv python python-library tensorflow yolo

Last synced: 15 Nov 2024

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: 13 Dec 2024

https://github.com/joelselvaraj/udacity-mlnd-capstone-handwritting-digit-recognition

Udacity - Machine Learning Engineer Nanodegree Project - A Deep Neural Network to recognise handwritten digits

capstone deep-neural-networks gpu handwritten-digits jupyter-notebook mnist-dataset python udacity-nanodegree

Last synced: 08 Dec 2024

https://github.com/idwessough/autonomous-driving

Autonomous Driving behaviour for a 4 wheel drive robot vehicle using AI and ROS to drive autonomously in a scaled city

artificial-intelligence computer-vision deep-neural-networks object-recognition robot-framework robotics ros2

Last synced: 22 Nov 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: 13 Nov 2024

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/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/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/lawmurray/gpu-course

Deep neural network and Adam optimizer in straight C and CUDA. Accompanies the course Foundations of GPU Computing (coming soon).

c course deep-learning deep-neural-networks deeplearning gpu gpu-computing machine-learning machinelearning tutorial

Last synced: 27 Nov 2024

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/coding-enthusiast9857/automatic_text_generation

Welcome to the repository, where innovation meets language! This repository is a comprehensive collection of tools, models, and resources dedicated to the exciting field of automatic text generation. Whether you're a researcher, developer, or enthusiast, this repository provides a playground for exploring cutting-edge technology.

ai ann cnn deep-learning deep-neural-networks gru keras lstm ml neural-networks nlp numpy python rnn tensorflow tensorflow2 text-processing

Last synced: 14 Nov 2024

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 Nov 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/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 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: 28 Nov 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/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/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/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/darkshadowcoder/ai-based-cloud-deployed-movie-recommendation-system

In this repository, I design an online movie recommendation system using Machine learning-deep learning and deployed on Azure

api deep-neural-networks flask-backend machine-learning-algorithms movie-recommendation reactjs test-automation

Last synced: 18 Nov 2024

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/ashkarin/ndpatch

Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.

array data-structures deep-neural-networks image-processing numpy patches region-of-interest

Last synced: 04 Dec 2024

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/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: 14 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/kinginthenorth001/rice_leaf_disase_detection

A CNN Model that can predict these 4 (['Bacterialblight', 'Blast', 'Brownspot', 'Tungro']) Rice leaf diseases.

cnn-classification deep-learning deep-neural-networks image-processing keras-neural-networks tensorflow

Last synced: 21 Nov 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: 27 Nov 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/jefferyustc/miscan_cli

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

bioinformatics deep-learning deep-neural-networks

Last synced: 20 Nov 2024

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

A curated list of papers and resources on byte-based large language models (LLMs) β€” 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/danmorales/fraud_detection

Modelagem para detecção de fraudes em cartáes de crédito

credit-card-fraud deep-learning deep-neural-networks fraud-detection fraud-prevention keras machine-learning python

Last synced: 27 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: 19 Nov 2024

https://github.com/rafaykhattak/neural-network-from-scratch

A simple neural network implementation from scratch using only NumPy for numerical computations.

deep-neural-networks image-classification neural-network numpy

Last synced: 13 Nov 2024

https://github.com/puyuan1996/rl_mcts_intro

εΌΊεŒ–ε­¦δΉ  (RL) δΈŽθ’™η‰Ήε‘ζ΄›ζ ‘ζœη΄’ (MCTS) 相关学习衄源

artificial-intelligence awesome deep-learning deep-neural-networks deep-reinforcement-learning introduction learning mcts monte-carlo-tree-search ppt reinforcement-learning resources rl search

Last synced: 04 Jan 2025

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/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/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/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/darraghdog/fish

Kaggle - The Nature Conservancy :fish:

cnn deep-neural-networks kaggle-competition keras region-detection yolo2

Last synced: 20 Dec 2024

https://github.com/ahammadmejbah/tensorflow-developers

Welcome to the TensorFlow 90-Day Guide, your comprehensive roadmap to mastering TensorFlow and Neural Networks in just three months! This guide is meticulously structured to take you from a beginner to an advanced practitioner, equipped with the knowledge and hands-on experience to build, train, and deploy sophisticated machine learning models.

data-science data-visualization deep-learning deep-neural-networks deep-reinforcement-learning tensorflow tensorflow-models tensorflow-tutorials

Last synced: 11 Dec 2024

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: 16 Nov 2024

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/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/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/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: 04 Dec 2024

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/angelognazzo/Reliable-Trustworthy-AI

Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH ZΓΌrich: 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/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/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/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/markus28/ml-library

Java Implementation of Machine-Learning Algorithms

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

Last synced: 26 Nov 2024

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 PyTorch-Guide 616 awesome-ai-cybersecurity 158 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 946 Uncategorized 553 Classification COVID19 (Separate section due to its current significance) 474 Papers & Code 418 Introduction 359 DL4M summary 358 Overview 300 Tutorials 240 Other useful related lists and resources 201 Neural Networks (NN) and Deep Neural Networks (DNN) 199 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Tools for Robotics 94 Paper: 93 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 5. Applications (General) 80