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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/kingabzpro/mrna-vaccine-degradation-prediction

The model that will predict the degradation rates at each base of an RNA molecule.

covid-19 data-science deep-neural-networks mrna-stability vaccine

Last synced: 17 Nov 2024

https://github.com/suhani1209/mobile-gallery-image-classifier

Distinguishes the mobile gallery's images into various sets such as whatsapp documents, nature, cars, screenshots, the machine learns itself and predicts the results with an accuracy of 97.6%

cnn deep-learning deep-neural-networks image-classification object-classification python

Last synced: 25 Dec 2024

https://github.com/mozturan/mlanddl-withwebapp

Web app to perfom machine learning algorithms (both for regression and classification) on almost ready datasets.

decision-trees deep-learning deep-neural-networks heatmap linear-regression logistic-regression machine-learning streamlit web-application

Last synced: 23 Dec 2024

https://github.com/ahammadmejbah/understanding-convolutional-layers

Convolutional layers are a type of neural network layer primarily used in deep learning models for processing data that has a grid-like topology, such as images.

deep-learning deep-learning-tutorial deep-neural-networks deep-reinforcement-learning deeplearning

Last synced: 09 Jan 2025

https://github.com/neerajcodes888/cat-vs-dog-image-classification

Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation

cats-vs-dogs cats-vs-dogs-classification deep-learning deep-neural-networks googlecolaboratory imageclassification python3

Last synced: 04 Dec 2024

https://github.com/agamiko/neural-based-data-augmentation

Improving generalization via style transfer-based data augmentation: Novel regularization method

cnn data-augmentation database deep-learning deep-neural-networks image-classification image-synthesis paper skin-lesions style-transfer

Last synced: 04 Dec 2024

https://github.com/majsylw/chihuahua-vs-muffin

Excercises in Deep learning for polish students conducted in winter 2020/21 (polish). With cooperation with Wroclaw University of Technology and OPI. This repository based on materials from beginner's workshop for SJSU ML Club and facebook DETR.

classification deep-neural-networks linear-nn python3 pytorch tutorial-code

Last synced: 04 Dec 2024

https://github.com/iamgmujtaba/gif-celeba

A complete guide on how to generate animated images by detecting character face and gender using the CNN model.

celeba cnn-classification cnn-keras deep-neural-networks keras keras-tensorflow

Last synced: 16 Dec 2024

https://github.com/rafaykhattak/neural-network-from-scratch

A simple neural network implementation from scratch using only NumPy for numerical computations.

deep-neural-networks image-classification neural-network numpy

Last synced: 13 Nov 2024

https://github.com/poodarchu/models.tf

papers implementation during learning dl and tensorflow.

deep-neural-networks tensorflow transfer-learning

Last synced: 30 Nov 2024

https://github.com/rafaykhattak/plagsnipe

By analyzing the linguistic complexity and repetitiveness of the text, PlagSnipe provides accurate insights into the authenticity and originality of written content, helping users identify potential instances of AI-generated text with precision and confidence.

deep-neural-networks gpt2 gpt2tokenizer nltk pytorch transformers

Last synced: 13 Nov 2024

https://github.com/rabbicse/face-app

A Face recognition system using TensorFlow.js for in-browser image processing and backend services powered by PyTorch, Qdrant, RetinaFace, ArcFace, and OpenCV for detection, embedding, and similarity matching. This setup ensures efficient, secure, and accurate facial recognition.

arcface deep-neural-networks docker docker-compose face-detection face-recognition machine-learning nextjs numpy opencv python pytorch react retinaface tensorflowjs typescript typescript-react

Last synced: 09 Jan 2025

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 05 Jan 2025

https://github.com/ahammadmejbah/tensorflow-developers

Welcome to the TensorFlow 90-Day Guide, your comprehensive roadmap to mastering TensorFlow and Neural Networks in just three months! This guide is meticulously structured to take you from a beginner to an advanced practitioner, equipped with the knowledge and hands-on experience to build, train, and deploy sophisticated machine learning models.

data-science data-visualization deep-learning deep-neural-networks deep-reinforcement-learning tensorflow tensorflow-models tensorflow-tutorials

Last synced: 11 Dec 2024

https://github.com/rafaykhattak/llamadoc

Taking advantage of LlamaIndex's in-context learning paradigm, LlamaDoc empowers users to input PDF documents and pose any questions related to the content. The tool leverages the LLama Index's reasoning capabilities to provide intelligent responses based on the contextual understanding of the LLM.

deep-neural-networks gpt3 in-context-learning llama-index llm

Last synced: 13 Nov 2024

https://github.com/crispengari/cv-torch

computer vision notebooks for pytorch projects.

computer-vision deep-learning deep-neural-networks python pytorch torch

Last synced: 16 Dec 2024

https://github.com/autrainer/aucurriculum

A Curriculum Learning Toolkit for Deep Learning Tasks built on top of autrainer.

autrainer computer-audition computer-vision deep-learning deep-neural-networks pytorch

Last synced: 19 Nov 2024

https://github.com/irishfix/universalnumerics.net

UniversalNumerics.NET is a versatile .NET package that can be used both in Unity and in normal C# projects. It simplifies common computational tasks, such as computing 2D line intersections, 2D segment intersections, 2D point within queries, 2D triangulation of points, 3D area voxelization and even creating deep neural network models.

artifical-intelligence artificial-neural-networks computational-geometry csharp csharp-library deep-learning deep-neural-networks dotnet mathematics triangulation triangulation-delaunay unity unity3d

Last synced: 13 Nov 2024

https://github.com/zjysteven/awesome-byte-llm

A curated list of papers and resources on byte-based large language models (LLMs) — models that operate directly on raw bytes.

awesome-list byte-llms deep-learning deep-neural-networks foundation-models large-language-models machine-learning multimodal-large-language-models research-paper tokenization-free transformers

Last synced: 20 Dec 2024

https://github.com/sayannath/linear-app

An ANN model is built and trained and exported to tflite format. Then it is integrated into Android App.

android ann deep-learning deep-neural-networks java keras machine-learning tensorflow tflite

Last synced: 11 Dec 2024

https://github.com/monzerdev/real-time-sign-language-detection

A real-time detection system for sign language alphabets and numeric gestures using MediaPipe and a Convolutional Neural Network (CNN). Features hand landmark detection, classification, and real-time feedback.

cnn computer-vision convolutional-neural-networks deep-learning deep-neural-networks mediapipe opencv pandas python pytorch real-time scikit-learn signlanguagedetection

Last synced: 01 Jan 2025

https://github.com/jefferyustc/miscan_cli

MiScan: mutation-inferred screening model of cancer | Apache Software License

bioinformatics deep-learning deep-neural-networks

Last synced: 20 Nov 2024

https://github.com/arif-miad/image-classification

pre-trained image classification models use prior knowledge to recognize patterns in images, speeding up training and improving accuracy.

computer-vision deep-neural-networks kaggle-dataset keras python pytorch resnet-50 tensorflow transfiterlearning vgg19

Last synced: 12 Dec 2024

https://github.com/ashraf-khabar/bank-marketing-data-analysis

This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.

data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn

Last synced: 20 Nov 2024

https://github.com/ashraf-khabar/licence-plate-recognition

About The realization of a radar system for the detection of vehicle license plates is an innovative and ambitious technological project that aims to improve road safety and facilitate the identification of vehicles in traffic

ai deep-learning deep-neural-networks flask flask-api machine-learning machine-learning-algorithms oracle-database oracle-db python python3 shell sql tensorflow

Last synced: 20 Nov 2024

https://github.com/ducthienbui97/pokedex

I am making a real pokedex with a model 85% accuracy top 1, 91% top 3, 93% top 5

classifier cnn cnn-keras deep-learning deep-neural-networks jupyter-notebook keras pokemon python tensorflow

Last synced: 17 Dec 2024

https://github.com/nikhilcodes/draw-anywhere

Not just any simple Digit Recognition. MNIST Digit Recognition got lot more Interesting!

computer-vision cv2 deep-learning deep-neural-networks drawing-app illusion keras-neural-networks opencv opencv-python

Last synced: 17 Dec 2024

https://github.com/akash-nath29/image-classifier

A Machine Learning Model capable to detect person's mood (happy or sad) from image

deep-neural-networks dnn keras keras-neural-networks keras-tensorflow machine-learning tensorflow tensorflow-models

Last synced: 20 Dec 2024

https://github.com/marcogdepinto/panoramamodelserving

Using Java and deeplearning4j to serve a Keras model.

deep-learning deep-neural-networks deeplearning deeplearning4j java keras python

Last synced: 17 Dec 2024

https://github.com/gsauc3/pytorch-model-details

Package to visualize all the layer parameters of a deep learning model.

cnn-model deep-learning deep-neural-networks model-summary pytorch summary

Last synced: 30 Dec 2024

https://github.com/tanishqjasoria/deeplearning

Implementation of some Neural Network architecture using Numpy, TensorFlow and Keras.

convolutional-neural-networks deep-learning deep-neural-networks residual-learning tensorflow transfer-learning

Last synced: 23 Dec 2024

https://github.com/hsprcode/audio-signal-classification-using-convolutional-neural-networks

Extracted features and classified GTZAN Dataset via deep neural networks with reduced number of parameters and achieved a maximum of 81.62% classification accuracy using 1D-CNN.

audio-analysis audio-processing convolutional-neural-networks deep-neural-networks musicgenre python

Last synced: 18 Dec 2024

https://github.com/jash271/beans_disease_classifier

Classifier to predict whether a plant is infected if so which diseases does it have

cnn-keras deep-neural-networks image-classification tensorflow-tutorials tensorflow2 transfer-learning

Last synced: 24 Nov 2024

https://github.com/travelxml/tensorflow-and-keras-sentiment-analysis-using-rnn

NLP: Sentiment Analysis using TensorFlow and Keras: This project implements a Recurrent Neural Network (RNN) to classify Amazon product reviews into different sentiment categories. It leverages text preprocessing, tokenization, and model training to predict the sentiment with high accuracy.

deep-learning deep-neural-networks deeplearning keras keras-tensorflow nlp rnn rnn-tensorflow sentiment-analysis tenserflow

Last synced: 21 Dec 2024

https://github.com/victordibia/neuraldreams

Visual Exploration of Representations Learned by Convolutional Neural Networks

cnn deep-learning deep-neural-networks explainability visualization

Last synced: 10 Jan 2025

https://github.com/paragghatage/artify

Artify is a Neural Style Transfer project that blends the artistic patterns of a style image with the content of another image using deep learning techniques. It leverages the VGG19 model to extract content and style features, enabling the creation of visually stunning artwork that merges textures, colors, and patterns from different sources.

art computer-vision deep-learning deep-neural-networks machine-learning

Last synced: 18 Dec 2024

https://github.com/m0hc3n/happy-or-sad-detection-deep-learning-model

This is a simple deep learning model to detect whether a person is happy or sad.

body-recognition convolutions deep-learning deep-neural-networks face-recognition-opencv

Last synced: 08 Jan 2025

https://github.com/spy16/churn-prediction

Customer churn prediction using Deep Neural Network.

deep-neural-networks keras-neural-networks keras-tensorflow prediction-model

Last synced: 01 Jan 2025

https://github.com/spy16/cats-and-dogs

cats-and-dogs is a Convolutional Neural Network for classifying cats and dog pictures.

classification convolutional-neural-networks deep-neural-networks

Last synced: 01 Jan 2025

https://github.com/ashkarin/ndpatch

Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.

array data-structures deep-neural-networks image-processing numpy patches region-of-interest

Last synced: 04 Dec 2024

https://github.com/darkshadowcoder/ai-based-cloud-deployed-movie-recommendation-system

In this repository, I design an online movie recommendation system using Machine learning-deep learning and deployed on Azure

api deep-neural-networks flask-backend machine-learning-algorithms movie-recommendation reactjs test-automation

Last synced: 18 Nov 2024

https://github.com/mashiat12/synthetic_brain_image_generation

Synthetic images generated using deeplearning model (GANs) allows researchers to create realistic, diverse MRI images that can supplement or expand existing datasets without needing additional patient scans.

artificial-intelligence deep-learning deep-neural-networks gan gans generative-adversarial-network generative-ai image-processing imagegeneration machine-learning

Last synced: 30 Nov 2024

https://github.com/keyurparalkar/cifar-10

ConvNet implementation for CIFAR-10 dataset using pytorch

convolutional-neural-networks deep-learning deep-neural-networks lenet-architecture pytorch

Last synced: 30 Dec 2024

https://github.com/sergio11/breast_cancer_diagnosis_mlp

🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖

deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify

Last synced: 14 Dec 2024

https://github.com/extwiii/ml-university.of.washington

Build Intelligent Applications - ML - University of Washington - Coursera

classification deep-learning deep-neural-networks machine-learning python regression svm washington-university

Last synced: 29 Nov 2024

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/rambodrahmani/deep-learning

Final project for the Computational Intelligence and Deep Learning course at University of Pisa.

convolutional-neural-networks deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow point-cloud pointcloud pointclouds tensorflow2

Last synced: 29 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/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/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/ondrejbiza/vae

Variational autoencoders implemented in Tensorflow.

deep-learning deep-neural-networks tensorflow variational-autoencoders vq-vae

Last synced: 08 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/norman-thomas/coursera-deep-learning

My implementation of assignments of the Coursera Deep Learning course and specialization

artificial-intelligence coursera deep-learning deep-neural-networks neural-networks

Last synced: 09 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/sathyasris27/image-classification-using-dnn-and-cnn

The main aim of this project is to understand and implement deep neural network (DNN) and convolutional neural network (CNN) and see how these can be used for classification problems.

classification convolutional-neural-networks data-science deep-learning deep-neural-networks image-classification python

Last synced: 10 Jan 2025

https://github.com/angelognazzo/Reliable-Trustworthy-AI

Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks

computer-vision deep-learning deep-neural-networks reliable-ai robust-machine-learning

Last synced: 17 Nov 2024

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/wahidpanda/car-tracking-open-cv

This project is about computer vision technology using to detect number of cars on highway

cartracking computer-vision deep-neural-networks opencv python-script pythonprojects

Last synced: 21 Nov 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/wodenwang820118/music_genre_multiclass_classification

The multiclass classification sometimes gets poor results. The repository attempts to use comet_ml to grid search and find the best hyperparameters and concatenate different models for training a better model. The goal is to classify the music genres.

deep-learning deep-neural-networks machine-learning multiclass-classification music-genre-classification

Last synced: 12 Nov 2024

https://github.com/e0xextazy/dog_breeds_clf

Trained the ResNet50 model from scratch on the imagewoof dataset. Reached 83% accuracy

classification classifier classifier-model deep-learning deep-neural-networks imagenette imagewoof resnet resnet-18 resnet-34 resnet-50 resnet50

Last synced: 25 Nov 2024

https://github.com/cloaky233/binary-classifier-cnn

A Convolutional Neural Network (CNN) implementation using PyTorch and TensorFlow/Keras to classify images of cats and dogs. This project includes training scripts, model architectures, and instructions for easy setup and usage.

binaryclassification deep-learning deep-neural-networks pytorch

Last synced: 19 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-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) 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 C/C++ Tools and Frameworks 80