Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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/agamiko/neural-based-data-augmentation
Improving generalization via style transfer-based data augmentation: Novel regularization method
cnn data-augmentation database deep-learning deep-neural-networks image-classification image-synthesis paper skin-lesions style-transfer
Last synced: 04 Dec 2024
https://github.com/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/neerajcodes888/cat-vs-dog-image-classification
Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation
cats-vs-dogs cats-vs-dogs-classification deep-learning deep-neural-networks googlecolaboratory imageclassification python3
Last synced: 04 Dec 2024
https://github.com/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: 04 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/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/ocramz/pytorch-playground
deep-learning deep-neural-networks sequence-models
Last synced: 05 Dec 2024
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/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/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/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/kaleidophon/calm-capybara
Comparing different Neural NLP models for Emoji Prediction.
attention-mechanism convolutional-neural-networks deep-learning deep-neural-networks emojis lstm natural-language-processing nlp
Last synced: 15 Dec 2024
https://github.com/gsauc3/pytorch-model-details
Package to visualize all the layer parameters of a deep learning model.
cnn-model deep-learning deep-neural-networks model-summary pytorch summary
Last synced: 30 Dec 2024
https://github.com/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/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/zsxoff/neural-orthodontic-cephalometry
Convolutional networks detection in cephalometry based on TensorFlow
convolutional-networks deep-learning deep-neural-networks head-profile radiological-images tensorflow
Last synced: 15 Nov 2024
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/ddofer/proteinbert
Protein language models using attention models
bioinformatics cafa deep-learning deep-neural-networks language-model machine-learning proteomics
Last synced: 03 Dec 2024
https://github.com/dhairyac/cutlery-image-classification
Use transfer learning for large image classification
deep-learning deep-neural-networks fine-tuning image-processing imagenet-classifier keras transfer-learning xception-model
Last synced: 21 Nov 2024
https://github.com/mashiat12/synthetic_brain_image_generation
Synthetic images generated using deeplearning model (GANs) allows researchers to create realistic, diverse MRI images that can supplement or expand existing datasets without needing additional patient scans.
artificial-intelligence deep-learning deep-neural-networks gan gans generative-adversarial-network generative-ai image-processing imagegeneration machine-learning
Last synced: 30 Nov 2024
https://github.com/keyurparalkar/cifar-10
ConvNet implementation for CIFAR-10 dataset using pytorch
convolutional-neural-networks deep-learning deep-neural-networks lenet-architecture pytorch
Last synced: 30 Dec 2024
https://github.com/zenitsu0509/projects
This Repo contains my projects that I have worked on so far.
deep-neural-networks machine-learning
Last synced: 22 Nov 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/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/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/vanditg/image_analytics_task_ai_australia
This repository contains solutions or files of my attempt for the AI Austraial task of Image Analytics. The submission language is Python.
blurred-background bounding-boxes computer-vision deep-learning deep-neural-networks face-detection face-quality facial-expression-recognition haarcascade-frontalface
Last synced: 22 Dec 2024
https://github.com/arif-miad/titanic-analysis
artificial-intelligence data data-science deep-neural-networks
Last synced: 14 Jan 2025
https://github.com/mohamedezzeldeenhassanmohamed/deep-learning-projects-repository
Enjoy the major Deep Learning Projects !!!
cnn ctc deep-learning deep-neural-networks dl encoder-decoder fcnn gan lstm-neural-networks machine-learning ml openai-api python rnn
Last synced: 03 Dec 2024
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/vishnun0027/sentiment-analysis
Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy
bag-of-words deep-learning deep-neural-networks deeplearning gru logistic-regression lstm machine-learning nltk-python rnn rnn-model sentiment-analysis svm-model tensorflow tensorflow2 text-classification text-preprocessing tf-idf tokenizer
Last synced: 25 Nov 2024
https://github.com/sreeeswaran/text-generation-using-t5
This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.
ai artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks neural-networks t5 t5-model text-generation text-generation-using-t5 text-to-text text-to-text-generation text-to-text-transfer-transformer text-to-text-transformer tranformers
Last synced: 22 Nov 2024
https://github.com/sreeeswaran/nst-for-artistic-image-creation
This project focuses on Neural Style Transfer (NST), a technique that applies the style of one image to the content of another image, creating a new, stylized image. NST leverages deep learning models, particularly Convolutional Neural Networks (CNNs), to extract and combine the content and style features of images.
artificial-intelligence artificial-neural-networks cnn cnn-model convolutional-neural-networks deep-learning deep-neural-networks image-generation machine-learning models neural-networks neural-style-transfer nst
Last synced: 22 Nov 2024
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/michaelradu/tinytensor
TinyTensor is an 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: 01 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/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/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/asrs-lab/awesome-dl-security-and-privacy-papers
Awesome-DL-Security-and-Privacy-Papers
adversarial-attacks adversarial-examples adversarial-learning adversarial-machine-learning backdoor-attacks backdoor-defense backdoor-detection deep-learning deep-neural-network deep-neural-networks machine-learning-security ml-papers ml-security security-and-privacy security-paper supply-chain-security
Last synced: 25 Nov 2024
https://github.com/aitor-alvarez/conversational-graph-neural-network
Conversational graph neural network models
conversational-ai deep-neural-networks disinformation graph-neural-network nlp-machine-learning
Last synced: 25 Nov 2024
https://github.com/priyankkalgaonkar/condensenext
An Ultra-Efficient Deep Neural Network for Embedded Systems
artificial-intelligence computer-vision condensenext deep-neural-networks machine-learning pytorch
Last synced: 09 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
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: 08 Dec 2024
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/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/markus28/ml-library
Java Implementation of Machine-Learning Algorithms
classification clustering deep-learning deep-neural-networks kmeans machine-learning
Last synced: 26 Nov 2024
https://github.com/andreasmazur/improvedgnnexplanations
Improve Zorro exlanations for graph neural networks.
deep-learning deep-neural-networks explainability explainable-ai explainable-artificial-intelligence explainable-ml neural-networks
Last synced: 12 Jan 2025
https://github.com/wambugu71/tree-couting-deepforest-drone_imagery
Counting the number of trees in an area, muringato area.
data-science deep-learning deep-neural-networks ecology image-recognition machine-learning object-detection python
Last synced: 22 Nov 2024
https://github.com/zsxoff/deep-learning-brain-segmentation
Brain segmentation for the 2D images using convolutional neural network
brain convolutional-networks convolutional-neural-networks deep-learning deep-neural-networks segmentation tensorflow
Last synced: 15 Nov 2024
https://github.com/ggiuffre/machine-lambda
Purely functional implementation of SGD on feed-forward neural nets
deep-neural-networks functional-programming haskell-library neural-network stochastic-gradient-descent
Last synced: 18 Nov 2024
https://github.com/shubhamahobia/ann-classification
The project involves developing a machine learning model to predict customer churn using Artificial Neural Networks (ANN). Customer churn refers to the loss of clients or subscribers. Accurately predicting churn helps businesses implement strategies to retain customers, thereby increasing profitability.
aritificial-intelligence artificial-neural-networks churn-prediction churn-rates classification deep-learning deep-neural-networks machine-learning
Last synced: 27 Dec 2024
https://github.com/aaleksandraristic/innovative-skin-cancer-screening-iscs-utilizing-cnn-models
The goal of this project is to employ deep learning models and advanced techniques to identify abnormalities by analyzing images of the skin tissues.
cnn-classification cnn-keras cnn-model convolutional-neural-networks deep-neural-networks densenet googlenet-inception-network image-classification image-processing python resnet
Last synced: 15 Nov 2024
https://github.com/aaleksandraristic/intelligent-ecg-diagnostic-system-based-on-cnn-models
Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.
classification-algorithm cnn-keras cnn-model convolutional-neural-networks deep-learning deep-neural-networks ecg-classification ecg-signal image-classification image-preprocessing machine-learning resnet resnet-50 vgg16 vgg16-model
Last synced: 15 Nov 2024
https://github.com/cseas/image-classifier
Deep Neural Network Classifier to recognise images based on custom training classes.
classify-images deep-learning deep-neural-networks image-classifier python python3 tensorboard tensorflow
Last synced: 27 Dec 2024
https://github.com/s1s1ty/mlpractice
ML practice for learning
computer-vision deep-neural-networks machine-learning
Last synced: 22 Nov 2024
https://github.com/stevenrice99/wall-following-robot-navigation
Wall-Following Robot Navigation
ai artificial-intelligence batch-normalization classification deep-learning deep-neural-networks dropout dropout-layers machine-learning ml neural-network neural-networks pandas python python3 pytorch sklearn torch uc-irvine uc-irvine-dataset
Last synced: 15 Nov 2024
https://github.com/stevenrice99/facial-expression-recognition
Kaggle Challenges in Representation Learning: Facial Expression Recognition Challenge
ai artificial-intelligence classification convolutional-neural-networks deep-learning deep-neural-networks face-recognition facial-recognition kaggle machine-learning ml neural-network neural-networks python python3 pytorch resnet resnet-18 torch torchvision
Last synced: 15 Nov 2024
https://github.com/chaitanyak77/optimal-detection-of-diabetic-retinopathy-severity-using-attention-based-cnn-and-vision-transformers
This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.
cnn-classification deep-neural-networks diabetic-retinopathy-detection image-processing transformers vision-transformer
Last synced: 15 Nov 2024
https://github.com/rsn601kri/quantum_reservoir_modeling
Quantum Reservoir Computing (QRC) algorithm to address credit risk modeling use any quantum software development kit (SDK) or quantum processing unit (QPU).
deep-neural-networks python quantum-computing random-generation reservoir-computing
Last synced: 27 Dec 2024
https://github.com/pthmhatre/stylescribe-using-generative-adversarial-network
A fashion AI-based model capable of generating images from textual descriptions. The model should take natural language text as input and generate images that visually represent the given text. This text-to-image generation system bridges the gap between textual descriptions and visual content.
deep-neural-networks flask-application generative-adversarial-network generative-ai googlecloudplatform hyperparameter-tuning keras-tensorflow neural-networks nlp os pillow rdp-connection scipy sklearn-metrics spacy-nlp texttoimage tfidf-vectorizer
Last synced: 06 Dec 2024
https://github.com/vyomshm/tenseemotion
Emotion recognition using deep learning - project at AngelHack Global Hackathon Series : New Delhi. WON the Govtech challenge!!!!
deep-neural-networks hackathon opencv3 tensorflow
Last synced: 29 Nov 2024
https://github.com/kalifou/tme_10_11_rdfia
Neural Networks Visualization : Activation Maps, Adversarial examples...
adversarial-example class-visualization deep-neural-networks pytorch
Last synced: 13 Jan 2025
https://github.com/harmanveer-2546/music-genre-classification
Classifying the genre of a music using deep neural networks.
cnn deep-neural-networks keras labelencoder librosa matplotlib music numpy pandas pickle python scipy seaborn sequential-models tensorflow
Last synced: 06 Dec 2024
https://github.com/amitkaps/dl101
Deep Learning 101
deep-learning deep-neural-networks python
Last synced: 25 Dec 2024
https://github.com/hiroakimikami/nnabla-ggnn
Reimplement gated graph neural network in NNabla
deep-learning deep-neural-networks ggnn nnabla
Last synced: 13 Jan 2025
https://github.com/asaficontact/stack_classifier_project
We classified Stack Overflow Python questions from 2008-2016 with Natural Language Processing and Deep Learning. Using Regular Expressions, we removed HTML tags and punctuation. We also utilized spaCy to tokenize, lemmatize and remove stop words. Using Keras, we built a 4 layered artificial neural network with a 20% dropout rate using relu and softmax activation functions. We also utilized the adam optimizer and categorical cross-entropy loss function which classified 11 tags 88% successfully.
cross-entropy-loss deep-learning deep-neural-networks keras lemmatization neural-networks object-oriented-programming pandas python3 regular-expressions relu sklearn spacy spacy-nlp stackoverflow tfidf tokenization
Last synced: 22 Dec 2024
https://github.com/t-mohamed-shafeek/vgg16-for-malware-classification
This is a Research project which introduces an AI approach which is Deep Neural Networks in this case, to detect and classify different malwares belonging to various families represented as images.
classification cnn deep-learning deep-neural-networks fine-tuning hyperparameter-tuning malware-research supervised-learning transfer-learning vgg16
Last synced: 14 Dec 2024
https://github.com/prpriesler/covid19-insights-and-analytics
This project delves into the realm of data analytics and programming, focusing on four pivotal datasets related to the COVID-19 pandemic: confirmed global, death global, vaccination & population data, and Twitter data.
covid19 covid19-data data data-science dataanalytics deep-neural-networks machine-learning natural-language-processing
Last synced: 28 Dec 2024
https://github.com/suwadith/footy-predictor-football-match-prediction-tensorflow-fastapi-plugin
A Deep-Learning (Tensorflow) based project which can be used to predict weekly EPL match results. Uses FastAPI as the backend to feed the results to a Chrome based plugin which then modifies the SkySports website to convey the predicted outcomes.
api chrome-extension deep-learning deep-neural-networks fastapi football prediction tensorflow
Last synced: 13 Jan 2025
https://github.com/mohamedomar2020/keras_tensorflow
Using Keras to build a deep neural network for bladder cancer progression
adam-optimizer bladder-cancer cancer cancer-research deep-learning deep-neural-networks dropout genomics keras keras-tensorflow machine-learning machine-learning-algorithms multi-perceptron sgd-optimizer softmax tensorflow
Last synced: 03 Oct 2024
https://github.com/hackintoshrao/tensorflow-income-bracket
Predicting whether the income > 50K based on the information about the individuals.
classification deep-learning deep-neural-networks tensorflow
Last synced: 12 Jan 2025
https://github.com/mituskillologies/dl-dvvp-aug24
Deep Learning programs of training conducted at DVVP College of Engineering, Ahmednagar, August 2024
artificial-intelligence artificial-neural-networks computer-vision convolutional-neural-networks deep-learning deep-neural-networks encoder-decoder machine-learning natural-language-processing recurrent-neural-networks
Last synced: 13 Jan 2025
https://github.com/akashash01/convolutional_neural_network
Is a deep neural network, most commonly applied to analyze visual images.
cnn-for-visual-recognition data-science deep-learning deep-neural-networks python
Last synced: 14 Dec 2024
https://github.com/akashash01/artificial_neural_network
It is an network of neurons that make up a human brain, so that machine can able to learn things and make decision like humans. This deep learning model is more flexible for regression and classification problems(linear & non-linear), susceptible to overfitting.
data-science datavisualization deep-learning deep-neural-networks python
Last synced: 14 Dec 2024
https://github.com/architgargpro/emotiondetector
This Machine Learning project aims to classify the emotion on a person's face into one of four categories, using deep convolutional neural networks.
cnn-keras deep-neural-networks keras-tensorflow machine-learning python
Last synced: 19 Nov 2024
https://github.com/ardawanism/a-tour-of-pytorch
In this repo, an introductory tutorial on PyTorch is provided. You can learn about the basics of PyTorch alongside defining and training deep neural networks consisting of different layer types such as fully-connected, convolutional, and etc.
convolutional-neural-networks deep-learning deep-neural-networks deeplearning multilayer-perceptron neural-network neural-networks pytorch pytorch-tutorial
Last synced: 10 Oct 2024
https://github.com/grascya/forecasting-electricity-by-hour-rnn-vs-lstm
Explore the Production and Consumption of Electricity produced by different types of energy sources and build an RNN and LSTM to forecast them
deep-neural-networks electricity keras lstm-neural-networks rnn-model tensorflow2
Last synced: 10 Oct 2024
https://github.com/redtius/talkpole
🤖🔍 An AI Model that determines sentence sentiment polarity.
cnn-model convolutional-neural-networks deep-learning deep-neural-networks flask keras long-short-term-memory-models nlp python sentiment-analysis sentiment-classification sentiment-polarity tensorflow
Last synced: 10 Oct 2024
https://github.com/amdjadouxx/chifoumiai
A model which take an image of a hand making a sign (paper, scissor, rock) and detect which sign it is, improvement to come
artificial-neural-networks cnn-classification deep-neural-networks ia python3 tensorflow-tutorials
Last synced: 10 Oct 2024
https://github.com/apozzi/convnetjs-extras
Builds on the core functionalities of convnetjs by adding more features and utilities that enhance the capabilities of neural network development and experimentation.
activation-functions convnetjs deep-learning deep-neural-networks loss-functions
Last synced: 29 Nov 2024
https://github.com/aaditya29/first-neural-network
Jupyter Notebook predicting the House Prices
deep-learning deep-learning-algorithms deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms neural-network neural-networks
Last synced: 14 Dec 2024
https://github.com/justdvnsh/research-summarizer
A research paper summariezer app
app deep-learning deep-neural-networks encoder-decoder gru lstm machine-learning machine-learning-algorithms research rnn rnn-tensorflow seq2seq summarizer webapp
Last synced: 14 Dec 2024
https://github.com/justdvnsh/dbot
My chatbot
chatbot dbot decoder deep-learning deep-neural-networks encoder encoder-decoder-model gru lstm machine-learning machine-learning-algorithms rnn rnn-tensorflow seq2seq
Last synced: 14 Dec 2024
https://github.com/tiennhm/artist-style-transfer-cyclegan
Implement Artist Style Transfer using CycleGAN
ai artistic-style-transfer cyclegan deep-learning deep-neural-networks dl gan generative-adversarial-network
Last synced: 29 Nov 2024
https://github.com/kanishknavale/training_don_a_novel_approach
Repository for research paper "Training Dense Object Nets: A Novel Approach"
computer-vision deep-neural-networks dense-object-nets image-correspondences image-dataset image-processing keypointnet pytorch pytorch-lightning synthetic-augmentation synthetic-dataset-generation
Last synced: 06 Jan 2025
https://github.com/rizerkrof/library-simpleneuralnetwork
This is a simple fully connected neural network library for deep learning. Include example.
deep-learning deep-neural-networks library
Last synced: 29 Nov 2024
https://github.com/mohammad95labbaf/lung-segmentation
The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.
chest-xray-images chest-xrays cnn cnn-keras convolutional-neural-networks deep-learning deep-neural-networks deeplearning depthwise-separable-convolutions depthwiseseparableconvolution lung-disease lung-segmentation segment segmentation x-ray-images
Last synced: 13 Jan 2025
https://github.com/gyselle-marques/neural-network-mnist
Implementação em Python de uma rede neural de Deep Learning para reconhecimento de dígitos.
deep-learning deep-neural-networks machine-learning neural-network portuguese-brazilian python
Last synced: 13 Jan 2025
https://github.com/kmr0877/digit-recognition
Implementation of CNNs for handwritten digit recognition
convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks mnist mnist-classification mnist-dataset mnist-handwriting-recognition mnist-image-dataset python3 recurrent-neural-networks tensorflow
Last synced: 28 Dec 2024
https://github.com/yannick-kees/mlp
Build MLP from scratch only using Numpy. Able to perform simple supervised learning problems in any dimension and with variable layer configurations. It can also be used for Auto-Encoder problems.
autoencoder deep-learning deep-neural-networks mlp numpy-tutorial
Last synced: 23 Nov 2024
https://github.com/vpanjeta/gamebot
A game bot using OpenAI gym and Reinforcement Learinng
convolutional-neural-networks deep deep-learning deep-neural-networks learning openai openai-gym openai-universe reinforcement reinforcement-learning
Last synced: 28 Dec 2024
https://github.com/saadarazzaq/custom-neural-networks
Perceptron, Multiclass and Deep Neural Network Implemented All in One Repo ✨
deep-neural-networks keras numpy perceptron python scikit-learn tensorflow
Last synced: 23 Nov 2024
https://github.com/erfanzar/cnn-custom-object-detection
a custom object detection with cnn and residual blocks and ready to train with at least 100 classes
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks deeplearning-ai object-detection python
Last synced: 28 Dec 2024
