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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/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: 11 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/kumar-shivam-ranjan/recognizing-human-activity-using-multiple-wearable-accelerometer-sensors

The project in this repository solved the HAR problem by deep neural network specifically long Short term memory (LSTM) of recurrent neural network .

deep deep-learning deep-neural-networks lstm-model smartphone-sensors

Last synced: 13 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/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/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/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 Jan 2025

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/mishig25/adversarial-reprogramming-keras

Keras implementation of Adversarial Reprogramming of Neural Networks

deep-learning deep-neural-networks

Last synced: 14 Dec 2024

https://github.com/papapana/face-generation

Face Generation using Generative Adversarial Networks (GANs)

deep-learning deep-neural-networks gan generative-adversarial-network pytorch

Last synced: 13 Jan 2025

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/ahammadmejbah/supplemental-materials-for-deep-learning-and-ai-specialization-course

The Deep Learning and AI Specialization course offered by aiQuest Intelligence provides a comprehensive program designed to teach cutting-edge artificial intelligence, neural networks, and deep learning techniques. This course is aimed at equipping you with the skills needed to tackle real-world AI challenges.

deep deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning deeplearning-ai

Last synced: 09 Jan 2025

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/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/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 Jan 2025

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/furk4neg3/inception_v1-googlenet

Replication of Going Deeper with Convolutions paper using TensorFlow, with one example of how to use it. This model is mainly used for image classification problems.

artificial-intelligence computer-vision deep-learning deep-neural-networks image-classification machine-learning tensorflow

Last synced: 13 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/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/jmaces/torch-adf

PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks machine-learning probabilistic-models pytorch torch

Last synced: 08 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/frankchen121212/RHSNet

Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification

computational-biology deep-neural-networks motif-discovery

Last synced: 28 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/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/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/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/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/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/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/thecoderpinar/hms-brainactivity-analysiss

Welcome to the GitHub repo for "HMS - EEG Exploration & Neurocritical Care Journey"! Explore EEG data, understand wave patterns, and delve into conditions like LPDs, GPDs, LRDA, and GRDA.

critical-care data-analysis data-science data-visualization deep-neural-networks eeg eeg-signals exploratory-data-analysis healthcare medical-research neuroscience signal-processing

Last synced: 16 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/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/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/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/camara94/reseau-neurone-tensorflow-2

TensorFlow est une bibliothèque open source de Machine Learning, créée par Google, permettant de développer et d’exécuter des applications de Machine Learning et de Deep Learning

algorithms-and-data-structures deep-learning deep-neural-networks machine-learning python3 tensorflow2

Last synced: 23 Dec 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/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/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/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/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/jstzwj/traph

An open-source machine learning platform

deep-learning deep-neural-networks machine-learning neural-network

Last synced: 14 Dec 2024

https://github.com/coditheck/tensorflow

TensorFlow is an open source Machine Learning library, created by Google, for developing and running Machine Learning and Deep Learning applications.

deep-learning deep-neural-networks keras machine-learning neural-network python tensorflow tensorflow-tutorials

Last synced: 21 Dec 2024

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

Using Pytorch with Django To distinguish Cats from Dogs by Fine Tuning pretrained Model.

cats-vs-dogs deep-learning deep-neural-networks django django-framework fine-tuning-cnns pretrained-models pytorch pytorch-implmention vgg16

Last synced: 06 Jan 2025

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/idwessough/autonomous-driving

Autonomous Driving behaviour for a 4 wheel drive robot vehicle using AI and ROS to drive autonomously in a scaled city

artificial-intelligence computer-vision deep-neural-networks object-recognition robot-framework robotics ros2

Last synced: 22 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/m-pektas/identitysimilarity

This repository can help researchers who want to use face recognition in their research.

deep-learning deep-neural-networks face-recognition identity-loss loss loss-functions pytorch

Last synced: 11 Jan 2025