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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: 2025-01-15 00:07:48 UTC
- JSON Representation
https://github.com/shashi456/deep-learning-research
Summaries of papers on Deep Learning, Natural Language Processing, Computer vision
artificial-intelligence computer-vision deep-learning deep-neural-networks hacktoberfest language-modeling machine-learning natural-language-processing neural-networks nlp research text-summarization
Last synced: 14 Jan 2025
https://github.com/MartinKondor/positron
Blazingly fast deep learning library for Python.
ai algorithms artificial-intelligence deep-learning deep-neural-networks machinelearning math mathematics neural-network neural-networks
Last synced: 02 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/abhineet123/deep_mdp
Deep MDP: A Modular Framework for Multi-Object Tracking
deep-learning deep-neural-networks markov-decision-processes multi-object-tracking object-tracker object-tracking siamese-network siamese-neural-network siamese-tracker tracking
Last synced: 21 Nov 2024
https://github.com/linggarm/movie-genre-classification-based-on-synopsis-using-deep-neural-network-and-tf-idf-vectorizer
Movie Genre Classification based on Synopsis using Deep Neural Network and TF-IDF Vectorizer
deep-learning deep-neural-networks machine-learning movie-genre-classification multinomial-naive-bayes nlp python supervised-learning svm text-classification tf-idf
Last synced: 09 Jan 2025
https://github.com/serhatderya/deep_learning
This repository contains my notes from Deep Learning With Tensorflow 2.0 from codebasics YouTube channel
ai artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks deeplearning jupyter jupyter-notebook keras keras-neural-networks keras-tensorflow keras-tutorials neural-network neural-networks pyhon3 python tensorflow tensorflow-models tensorflow-tutorials tensorflow2
Last synced: 17 Nov 2024
https://github.com/akashmodak97/genre-detection-of-bengali-songs-based-on-audio-data
Genre Detection of Bengali Rabindranath Tagore's Song Based On Audio Data.
bengali-songs deep-learning deep-neural-networks feature-extraction genre-classification keras-tensorflow librosa lstm mfcc-features music-classification neural-network python3 song-genre tensorflow2
Last synced: 15 Nov 2024
https://github.com/masasron/deepnet
DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.
classifier classifier-training deep-learning deep-neural-networks machine-learning nodejs
Last synced: 22 Nov 2024
https://github.com/saeed-dev2/saeed-dev2
Config files for my GitHub profile.
assembly-language c config deep-learning deep-neural-networks devloper embedded-systems github-config machine-learning networking programming-language python reinforcement-learning vhdl-code vlsi-testing
Last synced: 03 Dec 2024
https://github.com/luca-parisi/hyper_sinh
hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch
activation-functions cnn cnn-classification cnn-keras cnn-model deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow machine-learning machinelearning-python pytorch sinh tensorflow tensorflow-models torch
Last synced: 10 Oct 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/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/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/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/ayushexploring/lane-detection-traffic-sign-recognition
Lane Detection using OpenCV, Traffic Sign Recognition and Deep Learning Concepts
convolutional-neural-networks deep-neural-networks lane-detection logistic-regression mnist perceptron traffic-sign-classification traffic-sign-recognition
Last synced: 22 Dec 2024
https://github.com/gitstar-oc/machine-learning
This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning
Last synced: 13 Oct 2024
https://github.com/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/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/yoyolicoris/dl_hw1
back propogation
backpropagation classification deep-learning deep-neural-networks regression visualization
Last synced: 15 Dec 2024
https://github.com/yoyolicoris/building-nn-with-numpy
numpy lenet implementation.
convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy
Last synced: 15 Dec 2024
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/shaheennabi/deep-learning-practices-and-mini-projects
Welcome to Deep Learning & Math with Python! 🚀💥 Here, we blend code and theory to build deep learning algorithms from scratch and explore the math behind them. 🧠⚡ Whether you're just starting or a seasoned pro, this space is all about learning, experimenting, and creating AI magic together! 🔥🎆 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/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/sevmardi/generative-adversarial-networks
Personal Experiments in different sorts of GANs
deep-learning deep-neural-networks gans generative-adversarial-network ml python3
Last synced: 25 Dec 2024
https://github.com/rakibhhridoy/ctscanpredictioncovid19-tensorflow
Classifying covid positive and negative cases in ct-scan images. Though the data is not large enough, it can be processed and make prediction from the model. Images are quite similar thus the task became much complicated.
cnn cnn-classification cnn-keras computer-vision covid-19 ctscan deep-learning deep-neural-networks image-classification image-processing keras machine-learning medical-image-analysis neural-network prognosis python
Last synced: 25 Dec 2024
https://github.com/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/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/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/abhisaphire/style-transfer-dnn
Apply Style of one image onto another image using VGG19 Deep Neural Network in PyTorch
abhisaphire cnn colab-notebook deep-neural-networks dnn pytorch pytorch-implementation research-paper research-paper-implementation style-transfer style-transfer-algorithms vgg19
Last synced: 10 Jan 2025
https://github.com/hhhhhhao/papers
Reproduction of the interesting deep learning papers
convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network machine-learning
Last synced: 17 Dec 2024
https://github.com/harshal306/chest_xray_disease_detection
Helps in predicting the Pneumonia by the convolutional neural network over the images of chest x rays.
cnn-classification deep-neural-networks python tensorflow-models
Last synced: 12 Jan 2025
https://github.com/qengineering/squeezenet-ncnn
SqueezeNet for ncnn framework
cpp deep-neural-networks ncnn ncnn-framework ncnn-squeezenet raspberry raspberry-pi raspberry-pi-3 raspberry-pi-4 squeezenet
Last synced: 27 Nov 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/yoyololicon/building-nn-with-numpy
numpy lenet implementation.
convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy
Last synced: 06 Oct 2024
https://github.com/justsecret123/twitter-sentiment-analysis
A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
classification data-analysis data-science deep-learning deep-neural-networks docker glove-embeddings kaggle lstm lstm-neural-networks machine-learning natural-language-processing nlp python rnn scikit-learn sentiment-analysis sentiment-classification tensorflow word-embeddings
Last synced: 05 Nov 2024
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/louis030195/xmoto-gym
OpenAi's gym environment for Xmoto game - reinforcement learning research
artificial-intelligence deep-learning deep-neural-networks deeplearning machine-learning machinelearning python reinforcement-learning
Last synced: 25 Dec 2024
https://github.com/yoyololicon/dl_hw1
back propogation
backpropagation classification deep-learning deep-neural-networks regression visualization
Last synced: 06 Oct 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/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/narasimha1997/sento---online-sentiment-analysis-tool
Sento is a free online sentiment analysis tool .
deep-learning deep-neural-networks javascript natural-language-processing reactjs tensorflow-js webapp webpack
Last synced: 27 Dec 2024
https://github.com/kawai-senpai/heartly
Heartly is a Python application developed with Kivy, designed to evaluate the risk of heart disease based on user inputs. The application utilizes a neural network model to predict the likelihood of heart disease, providing a percentage risk based on a series of questions related to the user's health and lifestyle.
deep-learning deep-neural-networks heart-disease kivy kivy-framework kivymd pytorch
Last synced: 18 Dec 2024
https://github.com/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/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/justanhduc/neural-monitor
Monitor neural network training!
computer-vision deep-learning deep-neural-networks monitoring pytorch
Last synced: 02 Jan 2025
https://github.com/vtuanpham/srgan_reimplementation_modified
Re-Implementation of SRGAN with symmetric padding for a better merged final image (Anysized input with 4x upscaled)
deep-learning deep-neural-networks fft gan generative-adversarial-network image image-processing kivy kivy-application kivy-framework machine-learning srgan srgan-keras super-resolution upscaling
Last synced: 25 Sep 2024
https://github.com/hackintoshrao/solving-physics-in-keras
Solving a physics problem using keras
deep-neural-networks keras keras-neural-networks neural-networks physics
Last synced: 12 Jan 2025
https://github.com/pegah-ardehkhani/brain-mri-segmentation
U-Net from Scratch for Brain Tumor Segmentation
ai-for-medical-diagnosis brain-imaging brain-mri brain-mri-images deep-learning deep-neural-networks dice-coefficient healthcare-imaging iou medical-image-processing medical-imaging mri mri-brain mri-brain-segmentation mri-images python segmentation tensorflow u-net u-net-keras
Last synced: 07 Jan 2025
https://github.com/pegah-ardehkhani/speech-emotion-recognition
Emotion Recognition Using Audio Speech Files
audio audio-emotion-detection audio-processing cnn data-science deep-learning deep-neural-networks emotion-detection emotion-recognition feature-extraction machine-learning python
Last synced: 07 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/midusi/freestyle_generator
Generador de freestyle basado en batallas de RAP
deep-learning deep-neural-networks freestyle nlp text-generation text-generation-using-rnn
Last synced: 20 Nov 2024
https://github.com/pegah-ardehkhani/cnn-from-scratch
"CNN" from Scratch
cnn data-science deep-learning deep-neural-networks from-scratch from-scratch-in-python machine-learning python
Last synced: 07 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/g4m3r0/mri_gender_classification
Using MRI Images to classify the gender using DNNs
deep-learning deep-neural-networks gender-classification mri neural-networks
Last synced: 10 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/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/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/vyomshm/sentiment-rnn
Sentiment analysis using a recurrent neural network
deep-neural-networks recurrent-neural-networks rnn-tensorflow sentiment-analysis tensorflow
Last synced: 29 Nov 2024
https://github.com/a-mhamdi/journey-into-ml
Showcase some machine learning algorithms.
deep-neural-networks julialang keras machine-learning-algorithms python rlang tensorflow
Last synced: 12 Oct 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/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/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/ahammadnafiz/fiztorch
Toy Implementation of PyTorch
algorithms deep-learning deep-neural-networks framework implementation neural-network python python-3 pytorch pytorch-tutorial tensorflow2 torch tutorial
Last synced: 22 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/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/ahmedshahriar/time-series-projects
Collection of my Time series Analysis Projects
deep-learning deep-neural-networks keras lstm pandas python scikit-learn tensorflow time-series time-series-analysis time-series-classification time-series-forecasting time-series-prediction time-series-regression timeseries
Last synced: 16 Nov 2024
https://github.com/easonlai/tensorflow_minions_spongebob_classification
Tensorflow Minions Spongebob Classification
classification cnn cnn-classification cnn-keras cnn-model deep-learning deep-learning-tutorial deep-neural-networks image-classification machine-learning machinelearning neural-network tensorflow tensorflowserveing tf2 tfserving
Last synced: 08 Jan 2025
https://github.com/harshuljain13/cs231n-deeplearning
stanford's cs231n course
cs231n deep-learning deep-neural-networks stanford
Last synced: 30 Dec 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/ahmedshahriar/sentiment-analysis
Sentiment Analysis Projects
adam-optimizer data-science-projects deep-learning deep-neural-networks dense densely-connected-networks jupyter-notebook long-short-term-memory lstm-model lstm-sentiment-analysis machine-learning matplotlib numpy pandas scikit-learn sentiment-analysis tensorflow tensorflow-hub tensorflow-models tensorflow-text
Last synced: 21 Dec 2024
https://github.com/arasgungore/models
Models and examples built with TensorFlow.
convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks deeplearning machine-learning machinelearning model models research sota sota-model state-of-the-art state-of-the-art-models tensorboard tensorflow tensorflow-api tensorflow-examples tensorflow-models tensorflow2
Last synced: 26 Sep 2024
https://github.com/pasaopasen/pasaopasen.github.io
My resume, моё основное резюме
ansible bash code-acceleration compose cython data-science deep-neural-networks docker evolutionary-computation jenkins linux machine-learning mathematics python resume telegram winforms
Last synced: 28 Nov 2024
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/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/masoudnick/white-blood-cells-classification
White Blood Cells Classification Using Transfer Learning Technique
classification dataset deep-neural-networks inceptionv3 kaggle-dataset medical-image-processing medical-imaging transfer-learning white-blood-cells
Last synced: 13 Dec 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/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/pegah-ardehkhani/deep-neural-network-from-scratch
"Deep Neural Network" from Scratch
data-science deep-learning deep-neural-networks from-scratch from-scratch-in-python hidden-layers machine-learning neural-network python
Last synced: 07 Jan 2025
https://github.com/pegah-ardehkhani/corona-virus-tweets-sentiment-analysis-and-prediction
Analysis and Prediction of the Corona Virus tweets Sentiment Using Deep Learning Models and Plotly Library
coronavirus covid-19 data-science deep-learning deep-neural-networks lstm machine-learning plotly prediction python sentiment-analysis sentiment-classification tensorflow text text-analysis text-classification tweet tweet-analysis tweets
Last synced: 07 Jan 2025
https://github.com/johnsutor/emoji-painter
Paint with emojis.
accelerate deep-learning deep-neural-networks image-generation pytorch
Last synced: 18 Nov 2024
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/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
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/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). 🧠🔍
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/annapoorna-a-k/covid-19-detection-using-cnn
A precise and efficient model capable of early and accurate COVID-19 diagnosis.
bioinformatics cnn covid-19 covid-prediction deep-learning deep-neural-networks neural-network x-ray-images
Last synced: 03 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/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/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/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/reshalfahsi/neuralnetwork
Implementation of Artificial Neural Network Algorithm
artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks gradient-descent machine-learning medical-image-processing medical-insurance-costs medmnist neural-network newton-method python
Last synced: 15 Jan 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/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/arif-miad/introduction-to-open-cv
Computer vision is a field of study focused on enabling computers to interpret and understand the visual world. OpenCV provides a comprehensive set of tools and algorithms for various tasks in computer vision, including image and video processing, object detection and tracking, facial recognition, augmented reality, and mor
data-science deep-neural-networks
Last synced: 14 Jan 2025
https://github.com/arif-miad/titanic-analysis
artificial-intelligence data data-science deep-neural-networks
Last synced: 14 Jan 2025
https://github.com/edwildson/facerecognition
Projeto de reconhecimento de face e sentimentos, feito com Django e ML
deep-neural-networks django face-detection face-recognition machine-learning opencv python
Last synced: 08 Jan 2025
https://github.com/iinjyi/hands-on-neural-networks
A series of hands-on notebooks for beginners in neural networks. [To be updated]
ai cnn computer-science deep-learning deep-neural-networks lstm maths neural-networks python pytorch rnn transfer-learning
Last synced: 30 Dec 2024
https://github.com/pathak-ashutosh/liver-segmentation
Segment liver using unet architecture. This was a project I did for a senior anonymously as his final year project during my undergrad.
biomedical-image-processing computer-vision deep-learning deep-neural-networks machine-learning neural-network segmentation unet-image-segmentation
Last synced: 02 Jan 2025
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