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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/harshuljain13/dogsbreedclassification

Classifying the dogs breed using transfer learning in DeepLearning

deep-learning deep-neural-networks inceptionv3 keras tensorflow transfer-learning

Last synced: 30 Dec 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 Jan 2025

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: 29 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: 08 Feb 2025

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/ammahmoudi/covid-19-autoencoder

Using Autoencoder in keras as a nonlinear dimensionality reduction method to encode COVID-19 patients data

autoencoder covid-19 deep-learning deep-neural-networks dimension-reduction keras-tensorflow machine-learning ml

Last synced: 15 Jan 2025

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: 29 Jan 2025

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: 29 Jan 2025

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 Jan 2025

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/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 Jan 2025

https://github.com/hari9-9/captcha-solver

A Scalable CAPTCHA solving Solution using CNN's

captcha-solver deep-neural-networks scalability tensorflow tf-lite

Last synced: 09 Feb 2025

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: 29 Jan 2025

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/akashash01/artificial_neural_network

It is an network of neurons that make up a human brain, so that machine can able to learn things and make decision like humans. This deep learning model is more flexible for regression and classification problems(linear & non-linear), susceptible to overfitting.

data-science datavisualization deep-learning deep-neural-networks python

Last synced: 07 Feb 2025

https://github.com/akashash01/convolutional_neural_network

Is a deep neural network, most commonly applied to analyze visual images.

cnn-for-visual-recognition data-science deep-learning deep-neural-networks python

Last synced: 07 Feb 2025

https://github.com/unikraft/lib-dnnl

Unikraft port of Intel Math Kernel Library for DNNs

deep-neural-networks intel library math-library unikernel unikraft

Last synced: 19 Jan 2025

https://github.com/abhinavbammidi1401/deeplearning

This repository contains a collection of deep learning models and tools for various tasks such as image classification and generative modeling. Built with popular frameworks like TensorFlow, Keras and PyTorch, it includes code examples, pre-trained models, and detailed documentation to help you get started with deep learning.

deep-learning deep-neural-networks image-classification yolov5

Last synced: 21 Jan 2025

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/malolm/educational-neural-network-framework

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

deep-neural-networks mnist-classification python3

Last synced: 21 Jan 2025

https://github.com/himudigonda/digits-recognition

This project uses ML and keras modules to recognise digits from the given dataset.

deep-learning deep-neural-networks digit-recognizer jupyter-notebook keras tensorflow

Last synced: 15 Nov 2024

https://github.com/aryansinghiiit/imagedetection

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception. Topics

convolutional-neural-networks deep-learning deep-neural-networks image-detection tensorflow

Last synced: 24 Jan 2025

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: 23 Jan 2025

https://github.com/pthmhatre/stylescribe-using-generative-adversarial-network

A fashion AI-based model capable of generating images from textual descriptions. The model should take natural language text as input and generate images that visually represent the given text. This text-to-image generation system bridges the gap between textual descriptions and visual content.

deep-neural-networks flask-application generative-adversarial-network generative-ai googlecloudplatform hyperparameter-tuning keras-tensorflow neural-networks nlp os pillow rdp-connection scipy sklearn-metrics spacy-nlp texttoimage tfidf-vectorizer

Last synced: 01 Feb 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/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: 23 Jan 2025

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/rsn601kri/quantum_reservoir_modeling

Quantum Reservoir Computing (QRC) algorithm to address credit risk modeling use any quantum software development kit (SDK) or quantum processing unit (QPU).

deep-neural-networks python quantum-computing random-generation reservoir-computing

Last synced: 27 Dec 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 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: 19 Jan 2025

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/aaleksandraristic/intelligent-ecg-diagnostic-system-based-on-cnn-models

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

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

Last synced: 16 Jan 2025

https://github.com/ammahmoudi/fluxomic-prediction

Applying implicit deep learning and convex optimization layers to infer metabolic fluxes from gene expression data

bioinformatics deep-neural-networks fluxomics ml optimization transcriptomics

Last synced: 15 Jan 2025

https://github.com/vyomshm/tenseemotion

Emotion recognition using deep learning - project at AngelHack Global Hackathon Series : New Delhi. WON the Govtech challenge!!!!

deep-neural-networks hackathon opencv3 tensorflow

Last synced: 27 Jan 2025

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: 19 Jan 2025

https://github.com/kedhareswer/pdfchatbot

The Following Project is just me trying to understand a way to make PDF Chat bot this is not the final work

css deep-learning deep-neural-networks html machine-learning pdfjs python

Last synced: 21 Jan 2025

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/dhrupad17/understanding-deep-learning-through-projects

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

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

Last synced: 16 Jan 2025

https://github.com/inviii/ava

AVA is an AI/ML-based open-source program designed for fully autonomous Cars and Drones. AVA stands for AUTONOMOUS VEHICLE & AVIATION

ava aviation computer-vision convolutional-neural-networks deep-neural-networks lane-finding machine-learning self-driving-car tensorflow traffic-sign-classification vehicle-detection

Last synced: 19 Jan 2025

https://github.com/mithoon278/deepfake-video-detection-resnext-and-lstm-

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features.

deep-learning deep-neural-networks deepfake-detection flask-application lstm python resnext-50

Last synced: 27 Jan 2025

https://github.com/lugq1990/neural-nets

Build deep learning models more efficient based on TensorFlow.

deep-learning deep-neural-networks machine-learning tensorflow

Last synced: 08 Jan 2025

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: 21 Jan 2025

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/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/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/edreate/neural_learn

A Deep Learning library based on Pytorch and PyTorch Lightning which makes Deep Learning even simpler.

deep-learning deep-neural-networks python3 pytorch pytorch-lightning

Last synced: 08 Feb 2025

https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction

Meters to price predictions using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

https://github.com/pritz69/wine_quality_prediction_ml

Neural Networks and Deep Learning Project ,developing a Machine Learning Model .

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

Last synced: 11 Jan 2025

https://github.com/anibalalpizar/python-deep-learning-temperature-converter

Celsius to Fahrenheit converter using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

https://github.com/pegah-ardehkhani/predictive-maintenance-using-ml

A machine learning project for predictive maintenance, designed to forecast equipment failures and optimize maintenance schedules to reduce downtime and operational costs

adaboost decision-tree deep-learning deep-neural-networks feature-importance knn logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly predictive-maintenance random-forest seaborn sklearn stacking svm tensorflow

Last synced: 18 Jan 2025

https://github.com/rizerkrof/library-simpleneuralnetwork

This is a simple fully connected neural network library for deep learning. Include example.

deep-learning deep-neural-networks library

Last synced: 28 Jan 2025

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: 30 Jan 2025

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

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

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

Last synced: 02 Feb 2025

https://github.com/phyulwin/machine-learning-with-python-projects

Projects for Machine Learning with Python freeCodeCamp (Updated Solution in Progress... 🌿)

deep-neural-networks google-colab machine-learning python tensorflow

Last synced: 30 Dec 2024

https://github.com/wielkadraka/lunar-landing-q-learing

AI playing Lunar Landing from python gymnasium library

deep-neural-networks deep-q-learning lunar-lander python3

Last synced: 11 Jan 2025

https://github.com/arssite/dirty-cleanflooringimageprocessingusingyolov5

Uses YOLOv5 to classify floor cleanliness into five categories based on visual cues. It includes an annotated dataset, trained model,& evaluation outputs. Code covers data preprocessing, training, & testing. A comparative analysis highlights YOLOv5's advantages over traditional methods, providing an efficient solution automated floor cleanliness.

deep-neural-networks github google-colab jupyter-notebook labelimg matplotlib-pyplot numpy-library opencv-python pandas-python pytorch scikit-learn tensorflow yolov5

Last synced: 01 Feb 2025

https://github.com/lim-calculus/deep-learning-based-semantic-segmentation-with-pytorch-and-onnx

Deep learning-based semantic segmentation model using the PyTorch and ONNX framework

ai deep-learning deep-neural-networks onnx onnxruntime pytorch semantic-segmentation

Last synced: 22 Jan 2025

https://github.com/venkat-a/text_processing_rnn_lstm

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.

categorical-encoding deep-neural-networks embedding-vectors lstm-neural-networks model-evaluation-and-tuning nltk-tokenizer numpy-arrays pandas-dataframe pytorch-nlp rnn-encoder-decoder tokenization vocabulary-builder

Last synced: 08 Jan 2025

https://github.com/hayatiyrtgl/lstm_time_seriesv2

The code downloads Microsoft stock data, preprocesses it, builds and trains a deep learning model, and visualizes predictions.

analyzer deep-learning deep-neural-networks forecasting lstm pandas python time-series

Last synced: 22 Dec 2024

https://github.com/redleader962/une-intuition-sur-rudder

Ressources pour la présentation orale: "Une intuition sur RUDDER (Return Decomposition for Delayed Rewards)"

deep-learning deep-neural-networks deep-reinforcement-learning neural-network reward-shaping

Last synced: 24 Dec 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 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-experimental-standards-deep-learning 34 Awesome-Computational-Structural-Biology 40 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) 503 Papers & Code 423 Introduction 369 DL4M summary 358 Overview 320 Tutorials 235 Other useful related lists and resources 200 Neural Networks (NN) and Deep Neural Networks (DNN) 200 Research 199 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Paper: 96 Tools for Robotics 94 Further Reading 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Using AI for Pentesting 84