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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/aishwaryahastak/alzheimer-s-detection

Alzheimer's Detection from Brain MRI scans using DNN

deep-neural-networks healthcare image-classification

Last synced: 02 Jan 2025

https://github.com/gauravcodepro/expression-neural-network

a deep neural expression based classifier demonstrated to fit a unbalanced dataset, expression datasets across the samples

deep-neural-networks deeplearning expression-evaluator machine-learning machine-learning-algorithms neural-network neural-networks

Last synced: 02 Jan 2025

https://github.com/enheragu/mnist-learning-playground

Just repository with code to play MNIST dataset and different learning models

deep-learning deep-neural-networks mnist mnist-classification python pytorch

Last synced: 29 Dec 2024

https://github.com/faisal-fida/nlp-classification-qna-for-beginners

Natural language processing (NLP) tasks: text classification and text generation. The notebooks explore different techniques and models for handling these tasks, offering insights into common challenges and solutions.

challenges deep-neural-networks nlp-machine-learning text-classification text-generation

Last synced: 08 Jan 2025

https://github.com/cseas/image-classifier

Deep Neural Network Classifier to recognise images based on custom training classes.

classify-images deep-learning deep-neural-networks image-classifier python python3 tensorboard tensorflow

Last synced: 27 Dec 2024

https://github.com/maxvandenhoven/deep-defect-detection

University project applying deep neural networks and automatic hyperparameter optimization to detect defects in manufactured parts

binary-classification convolutional-neural-networks deep-learning deep-neural-networks defect-detection hyperopt hyperparameter-optimization python pytorch sklearn

Last synced: 29 Dec 2024

https://github.com/zakircodearchitect/flight-intent-classifier

This project uses a Bidirectional LSTM model to classify flight-related queries into 8 intents. Trained on the ATIS dataset, it achieved 97% test accuracy and is ideal for travel-related chatbots.

atis-dataset deep-neural-networks intent-classification neural-network

Last synced: 29 Dec 2024

https://github.com/troublete/go-qndnn

quick 'n' dirty neural network (for practical use)

ai deep-neural-networks go machine-learning relu sigmoid tanh

Last synced: 03 Jan 2025

https://github.com/athari22/sentiment-analysis-web-app

In this project, I created a Sentiment Analysis Web App using PyTorch and SageMaker. This project is part of the deep learning nanodegree program at udacity. Project Overview In this project, I constructed a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. Used Amazon's SageMaker service. In addition, created a simple web app that will interact with the deployed model.

amazon amazon-web-services deep-learning deep-neural-networks machine-learning neural-network python pytorch sagemaker sentiment-analysis

Last synced: 30 Dec 2024

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: 15 Nov 2024

https://github.com/athari22/tv-script-generation

In this project, I generated Seinfeld TV scripts using RNNs.This project is part of udacity deep learning nanodegree program. The Neural Network will generate a new, "fake" TV script, based on patterns it recognizes in this training data.

deep-learning deep-neural-networks machine-learning neural-network python pytorch rnn rnn-encoder-decoder rnn-model rnn-pytorch

Last synced: 30 Dec 2024

https://github.com/alandoescs/ml-reading-group

The GitHub Page of the Bavarian International School Machine Learning Reading Group

deep-learning deep-neural-networks machine-learning neural-networks reading-list

Last synced: 29 Dec 2024

https://github.com/amdjadouxx/chatbotai

implementing a chatbot with tensorflow in python

deep-learning deep-neural-networks ia natural-language-processing python3

Last synced: 23 Nov 2024

https://github.com/bismillah-jan/deep-neural-network

A demonstration of Deep Neural Network implementation using TensorFlow.

adaline-learning-algorithm deep-neural-networks keras tensorflow

Last synced: 16 Nov 2024

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: 15 Nov 2024

https://github.com/shubhamahobia/ann-classification

The project involves developing a machine learning model to predict customer churn using Artificial Neural Networks (ANN). Customer churn refers to the loss of clients or subscribers. Accurately predicting churn helps businesses implement strategies to retain customers, thereby increasing profitability.

aritificial-intelligence artificial-neural-networks churn-prediction churn-rates classification deep-learning deep-neural-networks machine-learning

Last synced: 27 Dec 2024

https://github.com/m0saan/guitardetect

Deep Learning for Guitars 🎸: Guitar Classifier using CNN

cnn cnn-classification deep-neural-networks guitar-classifier

Last synced: 16 Nov 2024

https://github.com/alex-lechner/carnd-behavioralcloning-p3

Driving a car around a track in Udacity's car simulator only with image data and neural networks. Project 3 of Udacity's Self-Driving Car Engineer Nanodegree Program.

autonomous-vehicles behavioral-cloning convolutional-neural-networks deep-learning deep-neural-networks keras keras-neural-networks self-driving-car udacity-self-driving-car

Last synced: 22 Nov 2024

https://github.com/guiferviz/aidictive

Addictive Artificial Intelligence library! SOTA models made easy :)

artificial-intelligence deep-learning deep-neural-networks easy-to-use machine-learning

Last synced: 12 Jan 2025

https://github.com/valeman/udacity-self-driving-car-traffic-signs-classifier-p2

My project pipeline for the Udacity Self-Driving-Car Nanodegree program's Project 2 - Traffic Sign Classifier

convolutional-neural-networks deep-learning deep-neural-networks machine-vision pyton self-driving-car tensorflow

Last synced: 22 Nov 2024

https://github.com/jkevin2010/deep-learning-and-early-dementia-detection

Development of new interpretable deep learning frameworks for the early detection of Alzheimer's Disease and Related Dementias (ADRD)

alzheimer-disease-prediction chaos-theory deep-neural-networks dementia-detection

Last synced: 15 Dec 2024

https://github.com/rishikesh-jadhav/robot-learning

This repository contains my solutions and code submissions for assignments and projects completed as part of ENPM690 during Spring 2024. Each assignment is organized in its own folder, with accompanying documentation and any necessary resources.

computer-vision deep-learning deep-neural-networks imitation-learning machine-learning reinforcement-learning robotics

Last synced: 22 Nov 2024

https://github.com/frgfm/pytorch-mnist

Implementation of various basic architectures (training on MNIST, Visdom visualization)

computer-vision deep-learning deep-neural-networks lenet mnist python3 pytorch pytorch-cnn visdom

Last synced: 29 Dec 2024

https://github.com/alex-lechner/carnd-semanticsegmentation-p12

An approach for pixel-based classification of drivable parts of the road (known as Semantic Segmentation). Project 12 of Udacity's Self-Driving Car Engineer Nanodegree Program.

autonomous-vehicles deep-learning deep-neural-networks deeplearning fully-convolutional-networks self-driving-car semantic-segmentation tensorflow

Last synced: 22 Nov 2024

https://github.com/asaficontact/stack_classifier_project

We classified Stack Overflow Python questions from 2008-2016 with Natural Language Processing and Deep Learning. Using Regular Expressions, we removed HTML tags and punctuation. We also utilized spaCy to tokenize, lemmatize and remove stop words. Using Keras, we built a 4 layered artificial neural network with a 20% dropout rate using relu and softmax activation functions. We also utilized the adam optimizer and categorical cross-entropy loss function which classified 11 tags 88% successfully.

cross-entropy-loss deep-learning deep-neural-networks keras lemmatization neural-networks object-oriented-programming pandas python3 regular-expressions relu sklearn spacy spacy-nlp stackoverflow tfidf tokenization

Last synced: 22 Dec 2024

https://github.com/rani-sikdar/tensorflow-learning

A comprehensive repository for learning TensorFlow, featuring code examples, projects, and resources. Covers concepts from beginner to advanced, including neural networks, CNNs, RNNs, NLP, and deployment. Ideal for students, developers, and AI enthusiasts.

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks machine-learning pytorch recurrent-neural-networks tensorflow tensorflow-models

Last synced: 25 Nov 2024

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

This project is a sentiment analysis model built to classify IMDB movie reviews as either positive or negative using the **IMDB dataset**. It uses various machine learning models and deep learning techniques to handle the text data.

challenge deep-learning deep-neural-networks lstm-neural-networks model-accuracy nlp nlp-datasets nlp-machine-learning polarity-integration proficient rqs score sentiment-analysis sentiment-classification

Last synced: 01 Dec 2024

https://github.com/raufjatoi/handwritten-character-recognition

Handwritten character recognition system that can recognize various handwritten characters or alphabets. I will extend this to recognize entire words or sentences.

deep-learning deep-neural-networks machine-learning mnist-handwriting-recognition

Last synced: 25 Nov 2024

https://github.com/zara5961/deep-learning-challenge

This project focuses on building and optimizing a deep learning neural network to predict the success of applicants funded by Alphabet Soup Charity.

deep-machine-learning deep-neural-networks python skicit-learn tensorflow

Last synced: 22 Nov 2024

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

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

deep-learning deep-neural-networks python pytorch segmentation tensorflow tumor-segmentation yolo yolov8 you-only-look-once

Last synced: 03 Dec 2024

https://github.com/margaretkhendre/nonprofit-funding-vs-deep-learning-challenge

In this repository, Google Colab is paired with neural networks and deep learning to examine data from the nonprofit, Alphabet Soup. This nonprofit desires a tool that can help it select applicants for funding, so a binary classifier will be created to predict whether applicants will be successful if funded by Alphabet Soup.

colab-notebook deep-neural-networks deeplearning jupyter-notebook neural-networks pandas standardscaler tensorflow

Last synced: 09 Jan 2025

https://github.com/ahmad-ali-rafique/batch-card-detection-app

A deep learning-based Streamlit app to detect if a person is wearing a batch card, built with TensorFlow. Includes trained model, app interface, and deployment guide.

ai artificial-intelligence carddetection deep-neural-networks streamlit-dashboard tensorflow

Last synced: 15 Dec 2024

https://github.com/donmaruko/sentiment-analysis-api

Flask-based API for sentiment analysis using deep learning models and includes endpoints for text and file input, database storage, and integrated Swagger documentation.

api deep-learning deep-neural-networks flask keras lstm machine-learning neural-network rnn scikit-learn scikitlearn-machine-learning sklearn sqlite3 swagger swagger-ui tensorflow

Last synced: 04 Jan 2025

https://github.com/harikishan-ai/harikishan-ai

I am dedicated to delivering innovative solutions that align with business objectives while ensuring optimal performance, reliability, and security. My strong analytical skills, attention to detail, and problem-solving abilities drive me to create effective and efficient solutions.

analystics automation aws-ec2 aws-lambda aws-s3 awsglue cnn deep-neural-networks logs lstm machine-learning oops-in-python powerbi python rnn transformers

Last synced: 25 Nov 2024

https://github.com/sathvik902/master-chef

A Deep Learning model which predicts the Indian Recipe from the ingredients we have in our home.

deep-neural-networks lstm

Last synced: 26 Nov 2024

https://github.com/saravanabalagi/deep_learning

My solutions for Deep Learning by Google MOOC on Udacity

deep-learning deep-neural-networks solutions udacity

Last synced: 25 Dec 2024

https://github.com/coreyjs/bike-sharing-neural-network

Part of Udacity's deep learning program. This is a simple neural network to predict bike ridership trends.

deep-learning deep-neural-networks machine-learning machinelearning ml neural-network neural-networks python udacity

Last synced: 22 Dec 2024

https://github.com/coreyjs/dog-breed-classifier

A transfer learning neural network to classify dog breeds.

classification deep-learning deep-neural-networks machine-learning ml

Last synced: 22 Dec 2024

https://github.com/stifler7/rl-for-game-ai

Game Artificial Intelligence with Reinforcement Learning This project provides experience in applying techniques of RL to game artificial intelligence. It shall demonstrate several RL algorithms- specifically Q-learning and deep Q-networks (DQN)- to game environments.

deep-learning deep-neural-networks deep-reinforcement-learning machine-learning

Last synced: 01 Dec 2024

https://github.com/aryanjain28/blog---r-cnn-fast-r-cnn-faster-r-cnn

Easy explanation on different object detection approaches like - R-CNN, Fast R-CNN, and Faster R-CNN.

blog blogs deep-learning deep-neural-networks deeplearning fast-r-cnn faster-rcnn machine-learning machine-learning-algorithms r-cnn

Last synced: 01 Dec 2024

https://github.com/gilbertocunha/lip-hepmetalearning

A repository that applies the Meta-SGD algorithm to High Energy Physics in Signal vs Background classification and studies the applicability of such methods.

deep-neural-networks hep metalearning

Last synced: 02 Dec 2024

https://github.com/gilbertocunha/lhc-vlq-classifier

A Deep Learning Neural Network that classifies Vector Like Quarks from background events using generated collider data

deep-neural-networks monte-carlo-dropout particle-physics quarks

Last synced: 02 Dec 2024

https://github.com/j3-signalroom/j3-ml_ai-education_experiences

Some of the project notebooks I built during my deepatlas.ai well-rounded education program.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks machine-learning

Last synced: 14 Dec 2024

https://github.com/kartikchugh/deepneuralnetworks

A Java library for building, training, and testing deep learning neural networks

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

Last synced: 15 Dec 2024

https://github.com/aryanjain28/blog---linear-regression

My first blog explains the concepts of linear regression that are the first steps towards advanced ML/AI.

blog blogs deep-learning deep-learning-blog deep-neural-networks deeplearning linear-regression linear-regression-blog machine-learning machine-learning-blogs ml-blog

Last synced: 01 Dec 2024

https://github.com/abhaskumarsinha/1d-gan

A simple well-documented tutorial on implementing a 1D GAN on Keras using a Python Jupyter Notebook

deep-learning deep-neural-networks gan generative-adversarial-network keras keras-tensorflow python3 tensorflow2 tutorial

Last synced: 21 Nov 2024

https://github.com/t-mohamed-shafeek/vgg16-for-malware-classification

This is a Research project which introduces an AI approach which is Deep Neural Networks in this case, to detect and classify different malwares belonging to various families represented as images.

classification cnn deep-learning deep-neural-networks fine-tuning hyperparameter-tuning malware-research supervised-learning transfer-learning vgg16

Last synced: 14 Dec 2024

https://github.com/natielle/udemy-tensorflowcompython

Material de estudo do curso: https://www.udemy.com/course/tensorflow-machine-learning-deep-learning-python/learn/lecture/12670278#overview

deep-learning deep-neural-networks deeplearning python tensorflow

Last synced: 21 Nov 2024

https://github.com/hemanthh17/ct5129-thesis-image-dehazing

ClearFlow: An Enhanced Image Dehazing Workflow Using Model Ensembling and CNN Postprocessing. This project is aimed to train a neural network to handle the task of image dehazing.

computer-vision deep-learning deep-neural-networks torch torchvision

Last synced: 21 Nov 2024

https://github.com/gkouros/cs231n-spring2018-assignments

Spring 2018 Assignments for the "Convolutional Neural Networks for Visual Recognition (cs231n)" course from Stanford University

cnn-for-visual-recognition deep-learning deep-neural-networks generative-adversarial-networks lstm-neural-networks recurrent-neural-networks stanford-cs231n

Last synced: 01 Dec 2024

https://github.com/mawadamhd/deep-learning-with-keras-and-tensorflow-course

This repository Course materials for Deep Learning with Keras and TensorFlow course. This repository includes Jupyter notebooks, datasets, assignments, and solutions .

deep-learning deep-neural-networks keras keras-tensorflow tensorflow

Last synced: 07 Dec 2024

https://github.com/prpriesler/covid19-insights-and-analytics

This project delves into the realm of data analytics and programming, focusing on four pivotal datasets related to the COVID-19 pandemic: confirmed global, death global, vaccination & population data, and Twitter data.

covid19 covid19-data data data-science dataanalytics deep-neural-networks machine-learning natural-language-processing

Last synced: 28 Dec 2024

https://github.com/aungkaungpyaepaing/mask-nomask-classification

Purpose of this project is to classified the captured image or input image, has masks or not. This model had trained with Convolutional Neural Network (CNN) and has high accuracy. The only problem of this model is it cannot detect the mask with different color due to dataset but included possible solution at the end of doc.

classification convolutional-neural-networks deep-learning deep-neural-networks image-classification image-processing

Last synced: 20 Nov 2024

https://github.com/suwadith/footy-predictor-football-match-prediction-tensorflow-fastapi-plugin

A Deep-Learning (Tensorflow) based project which can be used to predict weekly EPL match results. Uses FastAPI as the backend to feed the results to a Chrome based plugin which then modifies the SkySports website to convey the predicted outcomes.

api chrome-extension deep-learning deep-neural-networks fastapi football prediction tensorflow

Last synced: 13 Jan 2025

https://github.com/aravinda-1402/cotton_disease_prediction

Deep Learning model to detect a diseased cotton plant

cnn deep-neural-networks python3

Last synced: 18 Nov 2024

https://github.com/aravinda-1402/diabetes-prediction-using-machine-learning

To predict whether a person has diabetes or not depending on the parameters given using the 'PIMA Diabetes' dataset

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

Last synced: 18 Nov 2024

https://github.com/sreecharanv/generating-realistic-and-diverse-textual-movie-reviews-with-imdb-dataset-leveraging-deep-learning

This project uses GPT-2 to generate realistic movie reviews from the IMDb dataset. By preprocessing data and fine-tuning the model, we achieved human-like text quality. The model's reviews were evaluated for coherence and diversity, showcasing GPT-2's potential in automated text generation.

deep-learning deep-neural-networks gpt-2 large-language-models machine-learning movie-reviews natural-language-processing text-generation

Last synced: 30 Nov 2024

https://github.com/kartikchugh/neural-energy

Deep Neural Networks applied to representations of potential energy surfaces

deep-learning deep-neural-networks materials-science potential-energy-surfaces

Last synced: 15 Dec 2024

https://github.com/vidhi1290/cyclegan-implementation-for-image-to-image-translation

🖼️ Our CycleGAN Implementation for Image-to-Image Translation project leverages PyTorch to seamlessly transform images between domains, all without paired examples. With a keen focus on innovation and effectiveness, we've explored CycleGAN's capabilities across various domains. Join us as we delve into the world of image translation technology! 🚀

artificial-intelligence cycle-gan deep-learning deep-neural-networks gan github-config machine-learning numpy pillow python pytorch torchvision unsupervised-learning

Last synced: 08 Dec 2024

https://github.com/quarkgluant/deeplearning_tf

the "hello world" of the Deep Learning, MNIST dataset with tensorflow

deep-neural-networks python3 tensorflow-examples

Last synced: 07 Jan 2025

https://github.com/debasish-dutta/handwritten-digit-classifier

A web-app based on a handwritten digit recognizer TF model and its neural network created from scratch and is deployed using a web-app with tensorflow.js

deep-neural-networks tensorboard-mnist-digit tensorflow2

Last synced: 18 Nov 2024

https://github.com/quarkgluant/deep_learning_a_z

french Udemy course based on the Kirill Eremenko's course on deep learning with Python

deep-learning deep-learning-tutorial deep-neural-networks python3 pytorch tensorflow

Last synced: 07 Jan 2025

https://github.com/blacksujit/deep-learning-specialization-repo

This repo contains the neural networks learning's with tensorflow with all the high level deep learning concepts i am learning with project implementation

deep deep-layers deep-learning deep-neural-networks embeddings-word2vec llvm network-embeddings neural-network transformers-layers transformers-models vision-language-model

Last synced: 15 Dec 2024

https://github.com/sylvia-ai-lab/dr.-sylvia-s-ai--engineering-lab-codeshare

The code has explanations in YOUTUBE Ph.D.(c) Sylvia's AI & Engineering Lab Series 3 MATLAB — ideal for a quick start..

ai batterydegradation deep-neural-networks matlab

Last synced: 27 Nov 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 Nov 2024

https://github.com/ssinad/evolution-strategies-tensorflow

Using evolution strategies as Non-differentiable loss function in a neural network

convolutional-neural-networks deep-learning deep-neural-networks

Last synced: 02 Dec 2024

https://github.com/utility-code/sprintdl

pytorch wrapper for easier experimentation

deep-learning deep-neural-networks pytorch

Last synced: 20 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 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 946 Uncategorized 553 Classification COVID19 (Separate section due to its current significance) 480 Papers & Code 419 Introduction 361 DL4M summary 358 Overview 304 Tutorials 240 Other useful related lists and resources 201 Neural Networks (NN) and Deep Neural Networks (DNN) 200 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Tools for Robotics 94 Paper: 94 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 C/C++ Tools and Frameworks 80