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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/saikiran6694/product_classification

This is my Final Year Major Project. The idea behind this project is to develop a deep learning model for sentimental analysis of the users emotion toward the product and provide insight to design which further helps in improvement of the product.

deep-learning deep-neural-networks jupyter-notebook python

Last synced: 10 Dec 2024

https://github.com/sajed-zarrinpour/solving-pde-with-uncertainty-surrogate-forward-model-keras

Implementing a surrogate forward modeling to solve partial differential equations with uncertain equations using NN - keras

deep-neural-networks neural-networks numerical-analysis numerical-methods partial-differential-equations

Last synced: 14 Dec 2024

https://github.com/skalskip/yolov5js-zoo

Repository of pre-trained YOLOv5 models in tensorflow.js format

ai deep-learning deep-neural-networks javascript machine-learning tensorflowjs typescript yolo yolov5

Last synced: 27 Oct 2024

https://github.com/kingabzpro/magnet-model-the-geomagnetic-field

In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance, under operationally viable constraints, using the real-time solar-wind (RTSW) data feeds from NOAA’s DSCOVR and NASA’s ACE satellites. Improved models can provide more advanced warning of geomagnetic storms and reduce errors in magnetic navigation systems.

deep-neural-networks forecasting-dst geomagnetic geomagnetic-storms nasa noaa satellites time-series

Last synced: 17 Nov 2024

https://github.com/stefanolusardi/tiny_inference_engine

Client/Server system to perform distributed inference on high load systems.

ai cmake conan cpp deep-neural-networks docker grpc inference-client inference-engine inference-server kserve onnxruntime

Last synced: 10 Nov 2024

https://github.com/kahnvex/slugnet

An experimental deep learning library, dormant since 2017

deep-learning deep-neural-networks neural-networks numpy

Last synced: 03 Dec 2024

https://github.com/sadmansakib93/medical_image_classification_keras

This is an example of medical image classification (binary classification) using Keras. Note that, the model is not fully optimized in this program, and hence it can be further optimized and the accuracy of the model can be enhanced further.

convolutional-neural-networks deep-learning deep-neural-networks image-classification keras keras-neural-networks machine-learning medical-image-analysis

Last synced: 12 Jan 2025

https://github.com/lindronics/honours_project

University final year project: Deep neural networks for classification of multispectral images. Includes dissertation, research Jupyter Notebooks, and code for TensorFlow CNN models.

android android-application deep-learning deep-neural-networks flir flir-one flir-sdk image-classification keras multispectral multispectral-images tensorflow

Last synced: 04 Dec 2024

https://github.com/yannick-kees/learning-geometric-phase-field-representations

Implementation of two phase field approaches for the surface reconstruction problem. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli | Master Thesis

deep-learning deep-neural-networks fourier-features modica-mortola perimeter point-cloud rendering-3d-graphics surface-reconstruction

Last synced: 23 Nov 2024

https://github.com/equinor/sti

An investigation into the feasibility of using deep neural networks for local planning problems in well trajectory engineering.

data-science deep-neural-networks ml trajectory trajectory-optimization well wellbore

Last synced: 12 Nov 2024

https://github.com/prithvi45/conversational-chatbot

Chatbot built by using Deep Neural Networks and TensorFlow

deep-neural-networks python3 tensorflow

Last synced: 18 Nov 2024

https://github.com/sovit-123/video-recognition-using-deep-learning

This project uses deep learning and the PyTorch framework to detect sports action categories in videos in real-time. The neural network is a simple custom neural network built with PyTorch.

action-recognition computer-vision computer-vision-opencv convolutional-neural-networks deep-learning deep-neural-networks deeplearning-video-recognition neural-network pytorch

Last synced: 08 Dec 2024

https://github.com/ondrejbiza/aamas_19

Source code for the paper "Online Abstraction with MDP Homomorphisms for Deep Learning".

aamas abstraction deep-learning deep-neural-networks reinforcement-learning reinforcement-learning-algorithms

Last synced: 10 Nov 2024

https://github.com/atapas/ml-greenroots

ml-greenroots is a Pet project to run ML in the Browser using various libraries and frameworks available. How about a ⭐️?

deep-neural-networks gatsby gatsbyjs machine-learning ml5js netlify react reactjs

Last synced: 14 Oct 2024

https://github.com/mouralisandra/deeplearninglabs

A collection of Deep Learning labs for the INSAT Data Science course.

cnn deep-learning deep-neural-networks dnn embeddings fcnn glove nlp perceptron

Last synced: 27 Oct 2024

https://github.com/wesleylp/dissertation

Dissertation for the degree of M. Sc. in Electrical Engineering.

aedes aedes-aegypti computer-vision deep-learning deep-neural-networks object-detection

Last synced: 17 Dec 2024

https://github.com/ata-turhan/optimized-cnn-ta

It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.

algorithmic-trading deep-neural-networks financial-engineering financial-machine-learning technical-analysis

Last synced: 23 Dec 2024

https://github.com/arkaung/dropout_bayesian_nn

Demonstration for using dropout as a means of bayesian approximation in Deep Neural Network

bayesian deep-neural-networks

Last synced: 17 Nov 2024

https://github.com/mohammedyunus009/dnn_acoustic_rec

A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models

deep-learning deep-neural-networks extract-features keras sound sound-processing sound-synthesis soundcloud-api tensorflow

Last synced: 20 Dec 2024

https://github.com/yzhuoning/stagewisesgd

Stagewise training accelerates convergence of testing error over sgd

deep-neural-networks generalization-error optimization sgd

Last synced: 05 Jan 2025

https://github.com/sovit-123/american-sign-language-detection-using-deep-learning

This project aims to detect American Sign Language using PyTorch and deep learning. The neural network can also detect the sign language letters in real-time from a webcam video feed.

american-sign-language-recognition computer-vision convolutional-neural-networks deep-learning deep-neural-networks machine-learning neural-networks pytorch

Last synced: 08 Dec 2024

https://github.com/philipperemy/neural-probability-dist-sampler

Training a network to sample from any probability distributions such as exponential distribution.

deep-learning deep-neural-networks probability-distribution sampler statistics tensorflow

Last synced: 16 Dec 2024

https://github.com/kyegomez/gated-slot-attention

An implementation of the paper: "Gated Slot Attention for Efficient Linear-Time Sequence Modeling" in PyTorch

ai attentions deep-neural-networks deeplearning machinelearnin ml pytorch tensorflow torch torchvision

Last synced: 13 Oct 2024

https://github.com/aniike-t/style-transfer

Project to utilise the capabilities of Pre trained models

deep-learning deep-neural-networks image-processing machine-learning

Last synced: 10 Nov 2024

https://github.com/fork123aniket/text-generation

Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow

deep-learning deep-neural-networks lstm lstm-model natural-language-processing nlp tensorflow-tutorials tensorflow2

Last synced: 21 Dec 2024

https://github.com/garethjns/msimodels

Exploring multi-sensory integration and decision making in biologically inspired deep neural networks.

audiodag brain decision-making deep-neural-networks event-detection keras-neural-networks lstm matlab multi-modal multisensory-processing psychophysics

Last synced: 09 Nov 2024

https://github.com/shivamgupta92/signlang_action_recognition

This project utilizes action recognition and deep learning with OpenCV, MediaPipe, and Inception_ResNet for real-time sign language detection. This tool empowers users to interpret diverse sign gestures accurately, fostering inclusivity

cnn-keras deep-neural-networks keras nlp python3 resnet-50 tensorflow

Last synced: 11 Jan 2025

https://github.com/gerardocipriano/Cerberus-Dog-Breed-Classification-and-Body-Localization-PyTorch

Cerberus is a PyTorch-based project for classifying dog breeds and localizing specific body parts within images. Our model is capable of recognizing and classifying 3 dog breeds (Toy Poodle, Beagle, Siberian Husky) and localizing 3 specific body parts (eyes, nose, tail) within images.

deep-learning deep-neural-networks python pytorch yolo

Last synced: 08 Nov 2024

https://github.com/ahammadmejbah/ibm-project-07-identify-stop-signs-with-transfer-learning

As part of the machine learning team for a corporation developing self-driving cars, you are working on a new stop sign detection technology. In order to determine if there is a stop sign when the car is on the road, your team proposes to capture snapshots every second, signaling the car to stop when there's a stop sign detected in the image.

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

Last synced: 11 Nov 2024

https://github.com/saransh-cpp/scenenet

Scenery detection using transfer learning. (Frontend)

dart deep-learning deep-neural-networks flutter transfer-learning

Last synced: 11 Jan 2025

https://github.com/luluw8071/asl-alphabet-detection

American Sign Language Alphabet Detection in Real Time using OpenCV-Mediapipe with EfficientNetB0 in PyTorch

american-sign-language deep-neural-networks efficientnetb0 image-classification python pytorch sign-language-recognition streamlit

Last synced: 12 Nov 2024

https://github.com/crispengari/animal-sound-classification

this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.

artificial-intelligence artificial-neural-networks audio audio-processing deep-learning deep-neural-networks machine-learning python pytorch rnn torchaudio

Last synced: 16 Dec 2024

https://github.com/camara94/convolutional-neural-networks

Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.

cnn-keras deep-neural-networks keras tensorflow

Last synced: 23 Dec 2024

https://github.com/wepe/dnn-handle-missing-value

Tree based algorithm is effective for handling missing value, how about DNN?

deep-neural-networks missing-values

Last synced: 12 Nov 2024

https://github.com/raulmurillo/annsim_22

Code for reproducing ANNSIM 2022 results

deep-neural-networks floating-point physics-simulation posit simulation

Last synced: 18 Dec 2024

https://github.com/marx-wrld/mnist-character-recognition

Digital classification and Character Recognition using Tensorflow and the MNIST dataset

deep-neural-networks mnist-dataset tensorflow

Last synced: 12 Jan 2025

https://github.com/ue2020/divinenn

A deep-learning chess engine written in Rust, partially compliant with the UCI protocol. DivineNN uses the Monte Carlo Tree Search (MCTS) algorithm to enhance the neural network policy using the neural network's value output.

ai chess deep-learning deep-neural-networks machine-learning monte-carlo-tree-search search-algorithm

Last synced: 27 Dec 2024

https://github.com/harshal306/chest_xray_disease_detection

Helps in predicting the Pneumonia by the convolutional neural network over the images of chest x rays.

cnn-classification deep-neural-networks python tensorflow-models

Last synced: 12 Jan 2025

https://github.com/tanyachutani/neural-network-numpy

Neural Network (Multiple layers) from scratch using Numpy.

deep-neural-networks mnist neural-network neural-network-from-scratch numpy

Last synced: 10 Jan 2025

https://github.com/mkashirin/scratches

Scratches is a project, which provides a comprehensive guide to creating deep learning models from scratch using Python and NumPy.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks from-scratch machine-learning machine-learning-algorithms numpy python

Last synced: 06 Nov 2024

https://github.com/rakshit-shetty/pothole-detection

A pothole detection DL algorithm using Yolo v2 and Tensorflow

deep-neural-networks pothole-detection tensorflow yolov2

Last synced: 27 Nov 2024

https://github.com/rakibhhridoy/ctscanpredictioncovid19-tensorflow

Classifying covid positive and negative cases in ct-scan images. Though the data is not large enough, it can be processed and make prediction from the model. Images are quite similar thus the task became much complicated.

cnn cnn-classification cnn-keras computer-vision covid-19 ctscan deep-learning deep-neural-networks image-classification image-processing keras machine-learning medical-image-analysis neural-network prognosis python

Last synced: 25 Dec 2024

https://github.com/abidshafee/datascienceyoutubetutorials

This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube

cs cs-school data-science deep-learning deep-neural-networks machine-learning shafekul-abid video-tutorials youtube youtube-channel

Last synced: 15 Nov 2024

https://github.com/efecanxrd/lstm-derin-ogrenme-modeli-ile-enerji-tuketimi-tahmini

Derin modelleme için kullanılan paketler TensorFlow ve Keras'tır. Python ile Hollanda'nın ileride kullanabileceği tahmini! enerji tüketimini hesapladık.

deep-learning deep-learning-algorithms deep-neural-networks deeplearning keras plotly python tensorflow

Last synced: 15 Nov 2024

https://github.com/geo-y20/standard-ocr-

Explore the Standard OCR Project: a deep learning-based character recognition system leveraging advanced computer vision techniques. Detect characters in images using ResNet, Xception, Inception, and MobileNet models. Train, evaluate, and contribute to this cutting-edge technology.

css deep-learning deep-neural-networks flask html javascript jupyter-notebook keras ocr-recognition ocr-text-reader python resnet tensorflow xception

Last synced: 08 Jan 2025

https://github.com/daelsepara/deeplearningjs

AngularJS (1.7.x) implementation of the DeepNeuralNetworkClassifier project

angularjs deep-learning deep-neural-networks

Last synced: 29 Dec 2024

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) 200 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