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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/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/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/justanhduc/spatial-transformer-network

A Theano implementation of the paper "Spatial Transformer Networks" by Jaderberg et al..

computer-vision deep-learning deep-neural-networks spatial-transformer-network theano

Last synced: 02 Jan 2025

https://github.com/justanhduc/multar

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

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

Last synced: 02 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/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/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/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab

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

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

Last synced: 25 Dec 2024

https://github.com/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/ggiuffre/machine-lambda

Purely functional implementation of SGD on feed-forward neural nets

deep-neural-networks functional-programming haskell-library neural-network stochastic-gradient-descent

Last synced: 18 Nov 2024

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/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/rakibhhridoy/neuralstyletransfer-tensorflow

One of the curious outcome of data science revolution is neural style transfer where nst algorithm merge two images, content and style, creating a artistic image of content image. Here TensorFlow is used to process images and lastly used nst algorithm.

deep-learning deep-neural-networks machine-learning neural-style-transfer neuralstyletransfer nst python tensorflow

Last synced: 25 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/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/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 Nov 2024

https://github.com/parrondo/tutorial-lstm

Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information

deep-learning deep-learning-tutorial deep-neural-networks lstm lstm-networks lstm-neural-network

Last synced: 01 Jan 2025

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/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/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/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/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/parth-shastri/neural_nets_tensorflow

Just a small set of projects from a student who loves to play with Deep-learning!

deep-learning deep-neural-networks learning neural-networks python3 tensorflow-examples tensorflow-tutorials tensorflow2

Last synced: 21 Dec 2024

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/rociobenitez/deeplearning-airbnb-price-prediction

Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.

airbnb-data airbnb-pricing-prediction convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks keras keras-neural-networks keras-tensorflow

Last synced: 23 Nov 2024

https://github.com/fardinhash/stock-data-forecasting

Stock Data forecasting analysis based on SVM, Linear Regression, Deep Neural Network & Logistic Regression. Analyzed on real-time data. Predicted for Next 7 days.

deep-neural-networks linear-regression logistic-regression lstm stock-analysis stock-market stock-prediction stock-price-prediction stock-prices support-vector-machines svm

Last synced: 14 Nov 2024

https://github.com/ajithvcoder/epai

Contains assignments of EPAi course from The School of AI (https://theschoolof.ai/)

deep-neural-networks python pytorch

Last synced: 13 Nov 2024

https://github.com/shashwat9kumar/covid_face_mask_detection

Detecting whether a person in the picture has face mask on or not using a convolutional neural network

cnn covid19 deep-learning deep-neural-networks face-detection mask-detection tensorflow

Last synced: 13 Nov 2024

https://github.com/sebukpor/breast-cancer-classification

this model classifies breast cancer as either benign or malignant

deep-learning deep-neural-networks tensorflow tensorflowjs

Last synced: 22 Dec 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/guoquan/dlexp

Scaffold codes for feedforward neural network and autoencoders.

deep-learning deep-neural-networks matlab

Last synced: 02 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/guoquan/dlexp2

A framework for more flexible structure of neural networks with auto-differentiation.

auto-differentiation deep-learning deep-neural-networks matlab

Last synced: 02 Jan 2025

https://github.com/winter000boy/music-recommendation

This project implements a content-based recommendation system that analyzes song lyrics to find similar songs. It uses TF-IDF vectorization and cosine similarity to measure the semantic similarity between songs.

artificial-intelligence deep-neural-networks flask-application machine-learning neural-network python3 reinforcement-learning

Last synced: 26 Dec 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/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/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/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/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/motykatomasz/deepimageprior

Project reproducing part of "Deep Image Prior" paper, conducted for Deep Learning course (CS4240) at TU Delft.

cnn deep-learning deep-neural-networks pytorch

Last synced: 15 Dec 2024

https://github.com/hackintoshrao/blog-posts

Markdown of my blog posts at medium.com/@hackintoshrao and hackintoshrao.com

artificial-intelligence deep-learning deep-neural-networks technical-writing

Last synced: 14 Dec 2024

https://github.com/apozzi/convnetjs-extras

Builds on the core functionalities of convnetjs by adding more features and utilities that enhance the capabilities of neural network development and experimentation.

activation-functions convnetjs deep-learning deep-neural-networks loss-functions

Last synced: 29 Nov 2024

https://github.com/mahendran-narayanan/double-vit

[ICPR 2024] DoubleViT Pushing transformers towards the end because of convolutions

deep-learning deep-neural-networks icpr2024 pytorch tensorflow

Last synced: 21 Dec 2024

https://github.com/protyayofficial/imagecolorization

This project utilizes GANs for converting grayscale images to color, leveraging deep learning models to enhance colorization accuracy. It features customizable training pipelines, evaluation metrics, and supports further improvements with new models and techniques.

convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network image-colorization image-generation pytorch

Last synced: 21 Dec 2024

https://github.com/george-nyamao/keras-cnn-mnist-tuning

This repository illustrates model tuning using the Keras MNIST dataset with CNN.

convolutional-neural-networks deep-learning deep-neural-networks keras-tensorflow mnist-dataset

Last synced: 06 Dec 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/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/perpendicularai/imageclassification

A deep-learning notebook to detect real or fake faces. Now comes with it's own PyPI module.

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

Last synced: 02 Jan 2025

https://github.com/rafaykhattak/captionify

With Captionify, users can upload an image or enter an image URL to generate a descriptive caption that accurately describes the contents of the image.

deep-neural-networks encoder-decoder-model gpt-2 transfer-learning transformer vision-transformer

Last synced: 13 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-Cloud-Edge-AI 58 Deep-Learning 38 awesome-approximate-dnn 78 awesome-ai-cybersecurity 158 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 Paper (Lidar-based method) 80