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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.
- GitHub: https://github.com/topics/deep-neural-networks
- Wikipedia: https://en.wikipedia.org/wiki/Deep_neural_networks
- Aliases: deep-neural-network,
- Last updated: 2025-02-06 00:07:26 UTC
- JSON Representation
https://github.com/neelsoumya/butterfly_detector
Basic tutorials and code for teaching deep learning and machine learning
data-science deep deep-learning deep-learning-tutorial deep-neural-networks ethical-artificial-intelligence learning machine-learning neural-networks open open-data-science outreach outreach-activities public-outreach statistical-learning teaching teaching-materials teaching-resources tutorial tutorials
Last synced: 08 Jan 2025
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/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/shaheennabi/deep-learning-practices-and-mini-projects
Welcome to Deep Learning & Math with Python! ๐๐ฅ Here, we blend code and theory to build deep learning algorithms from scratch and explore the math behind them. ๐ง โก Whether you're just starting or a seasoned pro, this space is all about learning, experimenting, and creating AI magic together! ๐ฅ๐ Let's code, learn, and innovate!
activation-functions backpropagation calculus deep-learning deep-neural-networks linear-algebra maths-behind-neural-network opencv pytorch tensorflow
Last synced: 14 Jan 2025
https://github.com/coding-enthusiast9857/automatic_text_generation
Welcome to the repository, where innovation meets language! This repository is a comprehensive collection of tools, models, and resources dedicated to the exciting field of automatic text generation. Whether you're a researcher, developer, or enthusiast, this repository provides a playground for exploring cutting-edge technology.
ai ann cnn deep-learning deep-neural-networks gru keras lstm ml neural-networks nlp numpy python rnn tensorflow tensorflow2 text-processing
Last synced: 14 Jan 2025
https://github.com/amazon-science/mada_optimizer_search
Code the ICML 2024 paper: "MADA: Meta-Adaptive Optimizers through hyper-gradient Descent"
adam-optimizer deep-neural-networks gpt-2 large-language-models machine-learning machine-learning-algorithms meta-optimizer optimization optimization-algorithms
Last synced: 12 Nov 2024
https://github.com/lamsut/adversarial-robustness-of-cnn
Research on adversarial machine learning
adversarial-attacks adversarial-training cifar-10 deep-neural-networks
Last synced: 07 Jan 2025
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/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/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/vidhi1290/image-inpainting
๐จ Restore images flawlessly with our Image Inpainting Showcase! Using Convolutional Neural Networks, we revive corrupted parts. Explore code, models, and innovation for visual perfection. Join the AI journey of artistry and magic! ๐ผ๏ธ๐ฎ #ImageInpainting
artificial-intelligence artificial-neural-networks cifar10 computer-vision datascience datavisualization deep-learning deep-neural-networks humanfacedetection image-inpainting kaggle lfw-dataset machine-learning machine-learning-algorithms mnist-handwriting-recognition neural-networks python
Last synced: 02 Feb 2025
https://github.com/justanhduc/neural-monitor
Monitor neural network training!
computer-vision deep-learning deep-neural-networks monitoring pytorch
Last synced: 04 Feb 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/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/mituskillologies/dc-adv-nlp-may24
Programs of Advanced Certificate Course on "Python for Computational Linguistics and NLP" conducted at Deccan College PGRI, Pune. May 2024.
artificial-neural-networks bert convolutional-neural-network decision-tree deep-learning deep-neural-networks k-means-clustering knn-classification machine-learning natural-language-processing python-programming recurrent-neural-network sentiment-analysis sequence-models transformers-models
Last synced: 13 Jan 2025
https://github.com/mostafanabieh/transfer-learning-with-tensorflow-hub
Transfer-learning with Tensorflow v2
deep-learning deep-neural-networks google machine-learning machinelearning python tensorflow tensorflow-tutorials tensorflow2 transfer-learning
Last synced: 25 Jan 2025
https://github.com/aitor-alvarez/conversational-graph-neural-network
Conversational graph neural network models
conversational-ai deep-neural-networks graph-neural-network nlp-machine-learning
Last synced: 25 Jan 2025
https://github.com/tiskw/gaussian-process-bootstrapping-layer
PyTorch implementation of the Gaussian process bootstrapping layer
artificial-intelligence deep-neural-networks gaussian-processes machine-learning python pytorch
Last synced: 11 Jan 2025
https://github.com/eren23/nn-architecture-examples
A small collection of basic neural networks for different tasks using pytorch.
deep-neural-networks neural-network neural-network-architectures neural-network-example neural-network-tutorials neural-networks neural-networks-from-scratch pytorch pytorch-implementation
Last synced: 31 Jan 2025
https://github.com/joelselvaraj/udacity-mlnd-capstone-handwritting-digit-recognition
Udacity - Machine Learning Engineer Nanodegree Project - A Deep Neural Network to recognise handwritten digits
capstone deep-neural-networks gpu handwritten-digits jupyter-notebook mnist-dataset python udacity-nanodegree
Last synced: 03 Feb 2025
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 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: 31 Jan 2025
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: 20 Jan 2025
https://github.com/mkturkcan/constellation-web
Website for the Constellation Dataset project.
computer-vision dataset deep-learning deep-neural-networks object-detection pretrained-models traffic urban-data-science urban-planning
Last synced: 22 Dec 2024
https://github.com/ltfschoen/aind2-cnn
classification convolutional-neural-networks deep-neural-networks global-average-pooling image-augmentation image-recognition keras loss-functions mlp model-architecture multi-layer-architecture multi-layer-perceptron one-hot-encode optimiser tensorflow testing training validation
Last synced: 02 Feb 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: 11 Jan 2025
https://github.com/luluw8071/neural-network-from-scratch-using-numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
deep-neural-networks digit-recognition-mnist mnist-classification neural-network-from-scratch numpy python
Last synced: 11 Jan 2025
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/codewithashim/face-recognition-system
The Face Recognition System is a cutting-edge software application powered by state-of-the-art machine learning techniques. Experience accurate identification and verification of human faces in images and real-time video streams.
access-control biometrics codewithahsim deep-neural-networks face-recognition facial-detection facial-identification opencv opencv-python python python-3 real-time-face-recognition scalable-face-recognition security security-tools surveillance
Last synced: 01 Feb 2025
https://github.com/ahmad-ali-rafique/weather-prediction-fcnn
This project demonstrates a complete pipeline for weather prediction using a Fully Connected Neural Network (FCNN). The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation.
ai artificial-intelligence data-analysis data-science deep-learning deep-neural-networks fully-connected-network machine-learning machine-learning-algorithms weather-information
Last synced: 16 Jan 2025
https://github.com/puyuan1996/rl_mcts_intro
ๅผบๅๅญฆไน (RL) ไธ่็นๅกๆดๆ ๆ็ดข (MCTS) ็ธๅ ณๅญฆไน ่ตๆบ
artificial-intelligence awesome deep-learning deep-neural-networks deep-reinforcement-learning introduction learning mcts monte-carlo-tree-search ppt reinforcement-learning resources rl search
Last synced: 04 Jan 2025
https://github.com/princep/blogsleepi
Blogs for Leepi Application
android androiddevchallenge deep-neural-networks edtech educational-project machine-learning
Last synced: 04 Jan 2025
https://github.com/mostafanabieh/data-augmentation
Data augmentation by Tensorflow v2
deep deep-learning deep-neural-networks deeplearning tensorflow tensorflow-examples tensorflow-models tensorflow-tutorials tensorflow2
Last synced: 16 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/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/harlockofficial/msthesisproject
University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
dataset-augmentation deep-learning deep-neural-networks eeg eeg-classification latex motor-imagery motor-imagery-classification motor-imagery-eeg python3 submodules thesis thesis-project university university-project websockets
Last synced: 04 Dec 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/ynstf/moboot
Moboot is a chatbot developed in Moroccan Darija, Based on a collection of Moroccan phrases and responses, Moboot has been trained to engage in relatively short conversations with users.
api boot css darija-nlp deep-neural-networks flask html neural-network nlp
Last synced: 11 Jan 2025
https://github.com/md-emon-hasan/ml-project-fake-news-prediction-using-deep-learning-with-7-types-lstm
๐ฐ The Fake News Detection System uses deep learning techniques, specifically LSTM models, to classify news articles as real or fake.
ai cnn data-engineering data-science deep-learning deep-neural-networks fake-news gru keras keras-tensorflow lstm machine-learning machinelearning neural-network news-application news-classification predictive-modeling rnn tensorflow text-classification
Last synced: 28 Jan 2025
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/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 Jan 2025
https://github.com/cyrildever/neural-networks-and-deep-learning-in-golang
Code adaptation of "Neural Networks and Deep Learning" book in Go
deep-learning deep-neural-networks golang neural-networks
Last synced: 22 Jan 2025
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/markus28/ml-library
Java Implementation of Machine-Learning Algorithms
classification clustering deep-learning deep-neural-networks kmeans machine-learning
Last synced: 26 Jan 2025
https://github.com/poodarchu/models.tf
papers implementation during learning dl and tensorflow.
deep-neural-networks tensorflow transfer-learning
Last synced: 28 Jan 2025
https://github.com/sergio11/breast_cancer_diagnosis_mlp
๐ฉบ๐ฌ MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. ๐๐ค
deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify
Last synced: 14 Dec 2024
https://github.com/ahmad-ali-rafique/handwritten-digit-recognition-mnist
This project demonstrates a complete pipeline for recognizing handwritten digits using the MNIST dataset. The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation of a Fully Connected Neural Network (FCNN).
ai artificial-intelligence data data-analysis datascience deep-learning deep-neural-networks fcnn fully-connected-network machine-learning machine-learning-algorithms ml modeling
Last synced: 16 Jan 2025
https://github.com/tinsaeabreham45/rock_paper_sc
cnn deep-learning deep-neural-networks machine-learning tensorflow
Last synced: 01 Feb 2025
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/ocramz/pytorch-playground
deep-learning deep-neural-networks sequence-models
Last synced: 01 Feb 2025
https://github.com/jsdhami/data-science-with-python
Data Science With Python->Target: AI/ML
ai articicial-inteligence deep-learning deep-neural-networks mathematics-machine-learning matplotlib ml numpy pandas python pytourch statistics tensorflow
Last synced: 05 Feb 2025
https://github.com/chaitanyac22/multi-input-multi-output-mnist-image-digit-and-summed-output-classification
The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.
cnn-classification data-visualization deep-neural-networks exploratory-data-analysis functional-api image-data-generator image-processing keras mnist-classification model-building model-evaluation multi-inputs multi-outputs python3 tensorflow
Last synced: 01 Feb 2025
https://github.com/kanishknavale/slog
Master Thesis: Single Lable Object Grasping (SLOG)
deep-neural-networks dense-object-nets end-to-end-machine-learning image-correspondences keypoint-tracking keypointnet master-thesis object-generalization optimization-algorithms pytorch pytorch-lightning robotics-grasping self-supervised-learning
Last synced: 06 Jan 2025
https://github.com/lukasturcani/dnn
Implementations of deep network architectures in PyTorch.
cnn cnn-architecture cnn-classification dcgan deep-learning deep-neural-networks deeplearning gan gans image-inpainting neural-network neural-networks progressively-growing-gan
Last synced: 10 Jan 2025
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/ali-el-badry/pothole-detection
A deep learning-based project for detecting potholes in road surfaces using computer vision. Utilizes YOLO models for accurate, real-time pothole detection from images and videos, with a custom dataset and data augmentation techniques. Ideal for applications in road maintenance, autonomous vehicles, and insurance assessments.
deep-learning deep-neural-networks object-detection pothole-detection potholes yolo
Last synced: 01 Feb 2025
https://github.com/aezata/fashion_mnist-keras-model
A simple Fashion_mnist Keras model that I coded.
deep-learning deep-neural-networks fashion-mnist keras keras-models keras-neural-networks
Last synced: 21 Dec 2024
https://github.com/faizantkhan/deep-learning
Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!
advanced-programming ai aiml beginner-friendly deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning deeplearning keras-tensorflow machine-learning-algorithms machinelearning-python neural-networks open-source opencv python python-library tensorflow yolo
Last synced: 15 Jan 2025
https://github.com/abhiramdodda/two-stage-plant-diesease-detection
In this repo a two stage plant disease detection is introduced which reduces time required for training and gives greater accuracy.
deep-neural-networks efficientnet image-processing tensorflow
Last synced: 12 Jan 2025
https://github.com/toby-sanders-101/mydigits
Everything needed to create a AI bot that can read images
deep-neural-networks image-classification matplotlib numpy opencv pyautogui python
Last synced: 15 Jan 2025
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/mohammad95labbaf/brain-tumor-transferlearning
The Brain Tumor MRI Dataset from Kaggle is employed for automated brain tumor detection and classification research. Investigated methods include using pre-trained models (VGG16, ResNet50, and ViT). ๐ง ๐
cnn cnn-keras deep-learning deep-neural-networks deeplearning kaggle-dataset keras keras-tensorflow neural-network neural-networks pretrained-models resnet-50 transfer-learning tumor-classification tumor-detection vgg16 vision vision-transformer vit
Last synced: 13 Jan 2025
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/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/redayzarra/cnn_trafficsigns
This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.
classification classification-model computer-vision deep-learning deep-neural-networks lenet lenet-5 lenet-architecture machine-learning model-evaluation model-selection
Last synced: 26 Jan 2025
https://github.com/hoanle396/chatbot-api-ai
ai api chat chat-api chatbot cnn-model deep deep-learning deep-neural-networks
Last synced: 14 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 Jan 2025
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: 31 Jan 2025
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: 31 Jan 2025
https://github.com/jeronymous/deep_learning_notebooks
Self-containing notebooks to play simply with some particular concepts in Deep Learning
artificial-intelligence artificial-neural-networks automatic-speech-recognition deep-learning deep-neural-networks machine-learning natural-language-processing speech-recognition speech-to-text tokenization tokenizer-nlp tokenizers
Last synced: 04 Feb 2025
https://github.com/guiferviz/happyml
Machine Learning Python library for academic purposes.
deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy
Last synced: 17 Dec 2024
https://github.com/ahammadmejbah/the-90-day-pytorch-mastery-roadmap
Embark on a 90-day journey to master PyTorch! From tensor basics to advanced deep learning, each day offers lessons, hands-on exercises, and curated resources. Gain practical skills to confidently build, train, and deploy models across diverse applications.
ai artificial-intelligence data-engineering data-science data-visualization deep-learning deep-learning-algorithms deep-neural-networks python python-3 pytorch pytorch-cnn pytorch-gan pytorch-implementation pytorch-nlp pytorch-tutorial
Last synced: 20 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: 04 Feb 2025
https://github.com/angelmtenor/aind-deep-learning
Deep Learning and Applications
convolutional-neural-networks deep-neural-networks keras natural-language-processing recurrent-neural-networks
Last synced: 04 Jan 2025
https://github.com/easonlai/tensorflow_covid-19_classification_by_chest_x-ray
Tensorflow COVID-19 Classification by Chest X-Ray
cnn cnn-classification cnn-model convolutional-neural-networks deep-learning deep-neural-networks deeplearning densenet healthcare keras keras-tensorflow machine-learning machinelearning medical medical-image-processing medical-imaging tensorflow tensorflow-examples tensorflow-tutorials tensorflow2
Last synced: 21 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/ondrejbiza/tfset
Interactive Tensorflow training.
deep-learning deep-neural-networks machine-learning tensorflow tensorflow-experiments
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/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: 31 Jan 2025
https://github.com/vidhi1290/dcnn
Achieving 98.43% Accuracy in Handwritten Digit Recognition Experience the potential of deep learning as we present our project on handwritten digit recognition using the MNIST dataset. Our deep neural network achieves an outstanding accuracy of 98.43%, showcasing the effectiveness of advanced techniques in the realm of machine learning.
artificial-intelligence artificial-neural-networks cnn-keras deep-learning deep-neural-networks machine-learning-algorithms mnist-handwriting-recognition
Last synced: 02 Feb 2025
https://github.com/gokulnpc/fashion-mnist-gan
This script outlines the implementation of a Generative Adversarial Network (GAN) designed to generate fashion images using the Fashion MNIST dataset. The GAN consists of a generator and a discriminator, which are trained simultaneously in an adversarial manner.
deep-learning deep-neural-networks fashion-mnist generative-adversarial-network
Last synced: 02 Feb 2025
https://github.com/dhrupad17/100-days-of-deep-learning
Its the practice repository covering all the concepts @campusx-official has covered in his playlist in much detailed way.
cnn deep-learning deep-neural-networks lstm-neural-networks mlp-networks perceptron rnn
Last synced: 16 Jan 2025
https://github.com/heinrichi/facerecognitionwpf
FaceRecognitionWPF
c-sharp deep-learning deep-neural-networks face-detection face-recognition machine-learning wpf
Last synced: 27 Jan 2025
https://github.com/louis030195/xmoto_learning
reinforcement learning algorithms for xmoto_gym environment
artificial-intelligence deep-learning deep-neural-networks deeplearning machine-learning machinelearning python reinforcement-learning
Last synced: 25 Dec 2024
https://github.com/saturnism/udacity-730-deep-learning-notebook
Ray's Udacity UD730 Deep Learning notes
deep-learning deep-neural-networks jupyter-notebook machine-learning python udacity udacity-android-nanodegree
Last synced: 10 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/freebirdscrew/machinelearning_scratch
Machine Learning from Scratch and Implement Everything with Python
deep-learning deep-neural-networks goog google-maps-api machine-learning machine-learning-algorithms machinelearning machinelearning-python nlp-machine-learning python python-3 summarization tensorflow tensorflow-tutorials youtube-downloader
Last synced: 05 Jan 2025
https://github.com/ostaptan/nqg
Neural Question Generator
deep-neural-networks machine-intelligence nlp tensorflow
Last synced: 19 Jan 2025
https://github.com/donaldte/my-master-project-solar-radiation-prediction
Solar radiation Prediction Cameroon
ann cameroon cameroun deep-neural-networks knn-algorithm machine-learning-algorithms predictive-modeling region solar solar-energy solar-irradiation solar-system
Last synced: 19 Dec 2024
https://github.com/michaelradu/tinytensor
โกTinyTensor is a lightweight open-source deep learning library built from scratch in Python, inspired by Joel Grus' approach.
ai deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning deeplearning deeplearning-ai machine-learning machine-learning-algorithms machine-learning-library machinelearning-python neural-network python python3
Last synced: 29 Jan 2025
https://github.com/kalthommusa/face-mask-application
Develop a custom classifier with PyTorch and transfer learning techniques to recognize face masks, and then deploy it as a web application using Code Engine on IBM cloud.
cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks face-mask-classification image-classification image-recognition python pytorch resnet-18 transfer-learning
Last synced: 17 Jan 2025
https://github.com/kalthommusa/deep-neural-networks-with-pytorch
Collection of Coursera's Deep Neural Networks with PyTorch course by IBM labs notebooks.
cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks neural-network pytorch pytorch-cnn
Last synced: 17 Jan 2025
https://github.com/kalthommusa/stop-signs-application
Develop a custom classifier with PyTorch and transfer learning techniques to recognize stop signs, and then deploy it as a web application using Code Engine on IBM cloud.
cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks image-classification image-recognition python pytorch resnet-18 stop-sign-detection transfer-learning
Last synced: 17 Jan 2025
https://github.com/rathore25/denoising-by-resnet
Use a ResNet to denoise the noisy images
cifar-10 deep-neural-networks denoising-network residual-networks resnet
Last synced: 20 Dec 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/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/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