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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/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/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/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/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/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/victorowinoke/cnn-image-classification-using-fashion-mnist-dataset

There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average income tech-savvies to achieve their objective. This research paper aims to examine and illustrate how to use deep learning technologies and algorithms to precisely classify a dataset of fashion images into their respective clothing categories. First, the paper shows the general knowledge of convolutional neural networks (CNN) and the techniques of image classification. Later on, it also discusses the methodology of building a neural network and the simulation process. The results of the neural network simulation are compressively evaluated and discussed.

cnn-classification cnn-keras code deep-neural-networks fashion-classifier fashion-mnist-dataset image-classification python3 report tensorflow tensorflow-models

Last synced: 03 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/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/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/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 Nov 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/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/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/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/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/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/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/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/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/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/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/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/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: 30 Dec 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/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/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/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/muntahashams/character-level-lstm-pytorch

In this notebook, I'll construct a character-level LSTM with PyTorch. The network will train character by character on some text, then generate new text character by character. As an example, I will train on Anna Karenina. This model will be able to generate new text based on the text from the book!

artificial-intelligence character-encoding character-level-lstm deep-neural-networks generate-text lstm machine-learning-algorithms pytorch text-generation

Last synced: 13 Nov 2024

https://github.com/justanhduc/neuralnet

A high level framework for general purpose neural networks in Theano.

convolutional-neural-networks deep-learning deep-neural-networks neural-network python2 theano

Last synced: 22 Dec 2024

https://github.com/masasron/deepnet

DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.

classifier classifier-training deep-learning deep-neural-networks machine-learning nodejs

Last synced: 22 Nov 2024

https://github.com/gitstar-oc/machine-learning

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning

Last synced: 13 Oct 2024

https://github.com/mohitmishra786/ml-and-dl

This repository gives beginners and newcomers in the field of AI and ML a chance to understand the inner workings of popular learning algorithms by presenting them with a simple way to analyze the implementation of ML and DL algorithms in pure python using only numpy as a backend for linear algebraic computations.

artificial-intelligence artificial-neural-networks basic coding deep-learning deep-neural-networks machine-learning machine-learning-algorithms machine-learning-practice machine-learning-projects ml ml-project mlops python python3 pytorch pytorch-implementation tensorflow

Last synced: 21 Nov 2024

https://github.com/tallamjr/dnn

Implementations of Deep Neural Networks in Tensorflow 2.x

deep-learning deep-neural-networks keras tensorflow tensorflow-examples tensorflow2

Last synced: 17 Dec 2024

https://github.com/duartegalvao/image-colorization-with-deep-learning

This is a project for the DD2424 - Deep Learning in Data Science course in KTH (Royal Institute of Technology).

deep-learning deep-neural-networks gan python python3 tensorflow tensorflow-models turing-test unet

Last synced: 18 Nov 2024

https://github.com/vyomshm/image-classification-project

A convolution neural net to classify images from the CIFAR-10 dataset consisting of 60,000 images

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

Last synced: 29 Nov 2024

https://github.com/0xdaksh/employeechurn

A Deep Neural Network that can Classify Employee Churn with ~97% Accuracy

algorithm artificial-neural-networks classifier deep-learning deep-neural-networks keras machine-learning tensorflow

Last synced: 17 Nov 2024

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

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/andythefactory/fakenewsdataset

a consolidated and cleaned up fake news dataset classified in the following categories: reliable, unreliable, political, bias, fake, conspiracy, rumor clickbait, junk science, satire, hate

datasets deep-learning deep-neural-networks disinformation fake-news fake-news-analysis fake-news-articles fake-news-challenge fake-news-classification fake-news-dataset fake-news-detection misinformation

Last synced: 27 Dec 2024

https://github.com/kawai-senpai/heartly

Heartly is a Python application developed with Kivy, designed to evaluate the risk of heart disease based on user inputs. The application utilizes a neural network model to predict the likelihood of heart disease, providing a percentage risk based on a series of questions related to the user's health and lifestyle.

deep-learning deep-neural-networks heart-disease kivy kivy-framework kivymd pytorch

Last synced: 18 Dec 2024

https://github.com/marcogdepinto/dogs-vs-cats

Deep learning to classify if a picture contains a Dog or a Cat using Python, OpenCV, Keras.

deep-learning deep-learning-tutorial deep-neural-networks image-classification keras numpy opencv python python3

Last synced: 06 Jan 2025

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/subhangisati/identification-of-gemstone-using-mobilenetv2-and-transfer-learning

The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

artificial-intelligence classification computer-vision convolutional-neural-networks cv2-library data-science deep-learning deep-neural-networks keras-neural-networks keras-tensorflow machine-learning multiclass-image-classification numpy-library pandas-dataframe python scikit-learn seaborn-python tensorflow

Last synced: 01 Jan 2025

https://github.com/subhangisati/classification-of-venomous-and-non-venomous-snakes

This repository consists of classification of snakes species. It shows the whole progress and model used to achieve final accuracy. The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet. The final accuracy was achieved using transfer learning with model MobileNetV2

binary-image-classification classification cnn-classification cnn-keras computer-vision convolutional-neural-network cv2 data-science deep-neural-networks keras-tensorflow matplotlib mobilenetv2 neural-network numpy-library pandas-dataframe tensorflow transfer-learning

Last synced: 01 Jan 2025

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 539 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) 468 Papers & Code 417 DL4M summary 358 Introduction 357 Overview 296 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: 92 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 5. Applications (General) 80