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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/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/ayushverma135/whisper-hindi-asr-model-iit-bombay-internship

The Whisper Hindi ASR (Automatic Speech Recognition) model utilizes the KathBath dataset, a comprehensive collection of speech samples in Hindi. Trained on this dataset, Whisper employs advanced deep learning techniques to accurately transcribe spoken Hindi into text.

dataset deep-learning deep-neural-networks googlecollab machine-learning neural-networks python3 transcribing

Last synced: 01 Jan 2025

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/librauee/squirtle

To get the material of squirtle, which is one of the most famous emoticon. 通过机器学习的方法获取全网最全的杰尼龟表情包素材！

deep-neural-networks emoticon machine-learning

Last synced: 02 Jan 2025

https://github.com/unipr-org/deep-neural-network

Deep Neural Network Library: A flexible C++ library for building, training, and using deep neural networks. Modular, easy-to-use, and high-performance.

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

Last synced: 13 Dec 2024

https://github.com/dilumdesilva/daugmentor

DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation

data-generation deep-learning deep-neural-networks gan

Last synced: 30 Nov 2024

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

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/ranpy13/portrait-blur-bokeh

Attempt to recreate the DSLR like portrait bokeh blur effect on any normal image using deep learning, resnet and unet.

bokeh deep-neural-networks opencv resnet unet-image-segmentation

Last synced: 11 Nov 2024

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/jonperk318/machine-learning-analysis-of-hyperspectral-data

Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization python pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder

Last synced: 06 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: 13 Nov 2024

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/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/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/sarthak-1408/indian-food-classification

This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food

classification-model deep-learning deep-neural-networks flask flask-application image-classification keras-neural-networks keras-tensorflow tensorflow

Last synced: 16 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/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/joshua-dias-barreto/cifar10-using-cnns

A Convolutional Neural Network ( CNN ) is designed and trained to identify whether an image is an airplane, car, bird, cat, deer, dog, frog, horse, ship or a truck

cifar10 cnn-keras colab-notebooks deep-neural-networks machine-learning tensorflow visualization

Last synced: 12 Nov 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/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/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/ahammadmejbah/supplemental-materials

Explore AI with resources like 📚 books, 🎧 podcasts, and 🖥️ online courses! Join forums 💬, attend workshops 🛠️, and read journals 📖 to boost your knowledge! 🚀✨🧠

computer-vision data-science data-science-projects data-visualization deep-learning deep-neural-networks machine machine-learning opencv python3

Last synced: 09 Jan 2025

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/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/EliasVansteenkiste/plnt

A Python framework for classification of satellite imagery of the Amazon, built with Pytorch and Lasagne/Theano. The goal is to find deforestation activity.

classification deep-neural-networks kaggle lasagne python pytorch satellite-imagery

Last synced: 07 Nov 2024

https://github.com/aabduvak/object-detection-setup

The YOLOv8 Object Detection Setup allows users to perform real-time object detection using the YOLOv8 algorithm. The project is designed for simplicity and convenience, enabling users to run their models seamlessly and obtain output videos with detected objects.

computer-vision deep-neural-networks object-detection opencv yolov8

Last synced: 08 Jan 2025

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/harshjuly12/deep-learning-approaches-for-enhanced-breast-cancer-detection

A deep learning project aimed at early detection of breast cancer by classifying tumors as benign or malignant based on features extracted from cell images. The project demonstrates data preprocessing, model training, and evaluation using various deep learning algorithms to achieve high accuracy in predictions.

aiml cnn deep-learning deep-neural-networks

Last synced: 12 Nov 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/poodarchu/models.tf

papers implementation during learning dl and tensorflow.

deep-neural-networks tensorflow transfer-learning

Last synced: 30 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/daelsepara/deeplearningcpp

C++ Implementation of Machine Learning Toolbox (deep neural networks and convolutional neural networks)

convolutional-neural-networks deep-neural-networks machine-learning-toolbox

Last synced: 29 Dec 2024

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/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/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/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/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/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/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/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/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/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/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/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/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/wilhelmagren/pychess

Terminal User Interface for playing chess. Either against your friend or the Deep CNN limited look ahead agent.

ai autoencoder chess classification convolutional-neural-networks deep-learning deep-neural-networks machine-learning pygame python-chess pytorch regression

Last synced: 15 Dec 2024

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/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/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/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/augus1999/akane

AsymmetriC AutoeNcodEr (ACANE → AkAne). This model is part of MSc Electrochemistry and Battery Technologies project (2022 - 2023), University of Southampton.

chemistry deep-neural-networks denovo-design graph-neural-networks machine-learning multitask-learning pytorch-implementation transformer

Last synced: 14 Nov 2024

https://github.com/darraghdog/fish

Kaggle - The Nature Conservancy :fish:

cnn deep-neural-networks kaggle-competition keras region-detection yolo2

Last synced: 20 Dec 2024

https://github.com/vidhi1290/face-recognition-system-in-python-using-facenet

Dive into the world of computer vision! Our Image Classification from Video project uses advanced techniques to identify faces in images and videos. Explore video processing, face extraction, and deep learning magic. Join the adventure now! 👩‍💻📸"

computer-vision data-visualization deep-learning deep-neural-networks face-detection friends-dataset haar-cascade-classifier image-classification image-recognition opencv pretrained-models python vggface video-processing

Last synced: 08 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/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

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 5. Applications (General) 80