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Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

https://github.com/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: 07 Feb 2025

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/albertopirillo/anndl-challenges-2023

Collection of two projects applying Deep Neural Networks on real-world problems. The first one with CNNs for image recognition and the other with RNNs and 1D-CNNs for timeseries forecasting.

deep-neural-networks image-recognition timeseries-forecasting

Last synced: 01 Jan 2025

https://github.com/amdjadouxx/chatbotai

implementing a chatbot with tensorflow in python

deep-learning deep-neural-networks ia natural-language-processing python3

Last synced: 23 Jan 2025

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/rakibhhridoy/neuralstyletransfer-tensorflow

One of the curious outcome of data science revolution is neural style transfer where nst algorithm merge two images, content and style, creating a artistic image of content image. Here TensorFlow is used to process images and lastly used nst algorithm.

deep-learning deep-neural-networks machine-learning neural-style-transfer neuralstyletransfer nst python tensorflow

Last synced: 25 Dec 2024

https://github.com/parrondo/tutorial-lstm

Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information

deep-learning deep-learning-tutorial deep-neural-networks lstm lstm-networks lstm-neural-network

Last synced: 01 Jan 2025

https://github.com/hivana98/datascience-binaracademy

Data Analysis, Data Science, Machine & Deep Learning

data-science deep-learning deep-neural-networks machine-learning

Last synced: 17 Jan 2025

https://github.com/guoquan/dlexp

Scaffold codes for feedforward neural network and autoencoders.

deep-learning deep-neural-networks matlab

Last synced: 02 Jan 2025

https://github.com/guoquan/dlexp2

A framework for more flexible structure of neural networks with auto-differentiation.

auto-differentiation deep-learning deep-neural-networks matlab

Last synced: 02 Jan 2025

https://github.com/winter000boy/music-recommendation

This project implements a content-based recommendation system that analyzes song lyrics to find similar songs. It uses TF-IDF vectorization and cosine similarity to measure the semantic similarity between songs.

artificial-intelligence deep-neural-networks flask-application machine-learning neural-network python3 reinforcement-learning

Last synced: 26 Dec 2024

https://github.com/rociobenitez/deeplearning-airbnb-price-prediction

Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.

airbnb-data airbnb-pricing-prediction convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks keras keras-neural-networks keras-tensorflow

Last synced: 23 Jan 2025

https://github.com/d-kleine/deep-learning

Udacity Deep Learning Nanodegree notes and project solutions

deep-learning deep-neural-networks

Last synced: 23 Jan 2025

https://github.com/a-yush/keras-databases

Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .

computer-vision deep-neural-networks keras keras-implementations python3 supervised-machine-learning

Last synced: 26 Dec 2024

https://github.com/arpan132002/fitness-tracker-using-smart-watches

This repository contains the code for a full machine learning project that tracks fitness activities. The project demonstrates the process of building a fitness tracker using Python and machine learning techniques

deep-neural-networks machine-learning outlier-detection

Last synced: 30 Jan 2025

https://github.com/sebukpor/breast-cancer-classification

this model classifies breast cancer as either benign or malignant

deep-learning deep-neural-networks tensorflow tensorflowjs

Last synced: 14 Feb 2025

https://github.com/gauravcodepro/expression-neural-network

a deep neural expression based classifier demonstrated to fit a unbalanced dataset, expression datasets across the samples

deep-neural-networks deeplearning expression-evaluator machine-learning machine-learning-algorithms neural-network neural-networks

Last synced: 02 Jan 2025

https://github.com/kalfasyan/regular_irregular_shapeselectivity

Repository for my paper with title "Shape Selectivity of Middle Superior Temporal Sulcus Body Patch Neurons."

convolutional-neural-networks deep-neural-networks models neuroscience research-paper vision vision-science

Last synced: 17 Jan 2025

https://github.com/troublete/go-qndnn

quick 'n' dirty neural network (for practical use)

ai deep-neural-networks go machine-learning relu sigmoid tanh

Last synced: 03 Jan 2025

https://github.com/codewithdark-git/melanoma-skin-cancer-cnn

This repository provides a demonstration of a deep learning-based system for detecting melanoma from grayscale images. The model predicts whether an input image is classified as "BENIGN" or "MELANOMA," along with a confidence score. Please note that this application is for educational purposes only and should not be used for real medical diagnosis.

cancer-detection cnn cnn-classification convolutional-neural-networks deep-neural-networks dl llm machine-learning melanoma-detection ml neural-networks nn python python-script torch torchvision

Last synced: 25 Jan 2025

https://github.com/donmaruko/sentiment-analysis-api

Flask-based API for sentiment analysis using deep learning models and includes endpoints for text and file input, database storage, and integrated Swagger documentation.

api deep-learning deep-neural-networks flask keras lstm machine-learning neural-network rnn scikit-learn scikitlearn-machine-learning sklearn sqlite3 swagger swagger-ui tensorflow

Last synced: 04 Jan 2025

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/sylvia-ai-lab/dr.-sylvia-s-ai--engineering-lab-codeshare

The code has explanations in YOUTUBE Ph.D.(c) Sylvia's AI & Engineering Lab Series 3 MATLAB — ideal for a quick start..

ai batterydegradation deep-neural-networks matlab

Last synced: 26 Jan 2025

https://github.com/es7/the-ai-orchestra

In this repository I have explained about how we can generate music via LSTMs.

deep-neural-networks gru lstm music-generation-deep-learning rnn

Last synced: 11 Jan 2025

https://github.com/shivamgupta92/retinacare_by_team_bigfootisreal

Diabetic Retinopathy Predictor System, a Django-based web app, uses machine learning to assess diabetic retinopathy risk. Input your health data and get results within seconds: Ranging from ['Mild', 'Moderate', 'Severe', 'No_DR']

cnn-keras css3 deep-neural-networks diabetic-retinopathy-detection flask html5 inception-resnet-v2 javascript tensorflow

Last synced: 11 Jan 2025

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: 07 Feb 2025

https://github.com/0xdaksh/loanclassifier

A Dead Accurate Deep Learning Algorithm that Can classify if you'll take loan or not.

classifier deep-learning deep-neural-networks keras neural-network python python35

Last synced: 18 Jan 2025

https://github.com/barbarpotato/deeplearning.ai-tensorflow-developer-professional-certificate

TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models.

convolutional-neural-networks deep-learning deep-neural-networks natural-language-processing neural-network tensorflow tensorflow2 time-series

Last synced: 11 Jan 2025

https://github.com/data-pioneer/mlops-name-entity-recognition-end-to-end-main

Implementation of MLops pipeline for Named Entity Recognition (NER) using pretrained Huggingface BERT transformer based model, further use CircleCI CI/CD tool for deployment on google cloud platform by using Docker image, Flask front end interface.

artifact-registry bert-fine-tuning circleci deep-neural-networks docker-image flask-application google-cloud huggingface-transformers pythin3

Last synced: 18 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: 14 Feb 2025

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: 09 Feb 2025

https://github.com/sanchariii/cifar-10-object-recognition-using-resnet50

CIFAR-10 dataset has 60,000 32x32 rgb images and those images are recognized using ResNet50 deep learning model with an accuracy of 71%.

colab-notebook deep-neural-networks neural-networks resnet-50

Last synced: 12 Jan 2025

https://github.com/hackintoshrao/blog-posts

Markdown of my blog posts at medium.com/@hackintoshrao and hackintoshrao.com

artificial-intelligence deep-learning deep-neural-networks technical-writing

Last synced: 07 Feb 2025

https://github.com/hayatiyrtgl/lstm_time_seriesv2

The code downloads Microsoft stock data, preprocesses it, builds and trains a deep learning model, and visualizes predictions.

analyzer deep-learning deep-neural-networks forecasting lstm pandas python time-series

Last synced: 14 Feb 2025

https://github.com/guiferviz/aidictive

Addictive Artificial Intelligence library! SOTA models made easy :)

artificial-intelligence deep-learning deep-neural-networks easy-to-use machine-learning

Last synced: 12 Jan 2025

https://github.com/ajithvcoder/epai

Contains assignments of EPAi course from The School of AI (https://theschoolof.ai/)

deep-neural-networks python pytorch

Last synced: 12 Jan 2025

https://github.com/sushantdhumak/dog-breed-classifier

Deep Learning Nanodegree Project : Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied with an image of a human, the code will identify the resembling dog breed.

accuracy bottleneck-features categorical-cross-entropy cnn-architecture convolutional-neural-network deep-neural-networks detect-faces dog-breed dog-breed-classifier keras keras-neural-networks preprocessing resnet-50 rmsprop transfer-learning validation-loss vgg16 xception-model

Last synced: 30 Jan 2025

https://github.com/bottomsnode/plateai-indian-license-plate-detection-master

PlateAI is a state-of-the-art ALPR system employing AI and machine learning to detect and recognize license plates from images or video streams in real-time. It offers robust, efficient, and scalable performance, catering to diverse applications with high accuracy and reliability.

artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks image-processing machine-learning

Last synced: 18 Jan 2025

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: 07 Feb 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: 07 Feb 2025

https://github.com/unikraft/lib-dnnl

Unikraft port of Intel Math Kernel Library for DNNs

deep-neural-networks intel library math-library unikernel unikraft

Last synced: 19 Jan 2025

https://github.com/debasish-dutta/handwritten-digit-classifier

A web-app based on a handwritten digit recognizer TF model and its neural network created from scratch and is deployed using a web-app with tensorflow.js

deep-neural-networks tensorboard-mnist-digit tensorflow2

Last synced: 19 Jan 2025

https://github.com/aravinda-1402/diabetes-prediction-using-machine-learning

To predict whether a person has diabetes or not depending on the parameters given using the 'PIMA Diabetes' dataset

data-science deep-neural-networks machine-learning-algorithms

Last synced: 19 Jan 2025

https://github.com/inviii/ava

AVA is an AI/ML-based open-source program designed for fully autonomous Cars and Drones. AVA stands for AUTONOMOUS VEHICLE & AVIATION

ava aviation computer-vision convolutional-neural-networks deep-neural-networks lane-finding machine-learning self-driving-car tensorflow traffic-sign-classification vehicle-detection

Last synced: 19 Jan 2025

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: 19 Jan 2025

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: 09 Feb 2025

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: 04 Feb 2025

https://github.com/shamiul5201/healthcare_ai

Brain Tumor Detection and Localization Using Resnet and ResUnet in Healthcare

deep-neural-networks image-segmentation python-3 u-net

Last synced: 02 Feb 2025

https://github.com/dansolombrino/kindergarten-vq-vae

Improving disentanglement properties in off-the-shelf Transformer models

autoencoders deep-learning deep-neural-networks natural-language-processing nlp transformers

Last synced: 07 Feb 2025

https://github.com/dansolombrino/creactive

A set of experiments on Deep Neural Networks activation functions

activation-functions deep-learning deep-neural-networks nonlinear-optimization

Last synced: 07 Feb 2025

https://github.com/dansolombrino/biscuits

A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos

batchnorm cnn cnns convolutional-neural-networks deep-learning deep-neural-networks resnet resnets

Last synced: 07 Feb 2025

https://github.com/loudji971/chatbot-intent-classifier

Chatbot based on natural language processing (NLP) and deep learning for accurate intent classification in conversations. - Artificial Inteligence Tecniques

ai atis-dataset bert chat-bot-deep-learning deep-neural-networks fastapi intent-classification keras nlp nltk nltk-keras-python nlu-engine scikit-learn tridib-samanta

Last synced: 25 Jan 2025

https://github.com/codewithdark-git/titans-transformer

This repository contains an experimental implementation of the Titans Transformer architecture for sequence modeling tasks. The code is a personal exploration and may include errors or inefficiencies as I am currently in the learning stage. It is inspired by the ideas presented in the original

deep-learning deep-neural-networks inference llm ml neural-networks new nn paper python research-paper test titans transformer transformers-models

Last synced: 25 Jan 2025

https://github.com/jotstolu/training-machine-learning-models-for-weed-classification

This project involves training different machine learning-based classifiers using image processing techniques to accurately classify two weed classes: charlock and cleavers.This Image classification task focuses on Four Main things: 1)Image Preparation and Pre-processing 2)Feature Extraction 3)Model Training 4)Model Evaluation and Analysis

deep-learning deep-neural-networks image-classification image-processing machine-learning

Last synced: 26 Jan 2025

https://github.com/carpentries-incubator/deep-learning-intro

Placeholder to redirect visitors to https://carpentries-lab.github.io/deep-learning-intro/

beta carpentries carpentries-incubator deep-learning deep-neural-networks english lesson neural-network python

Last synced: 14 Feb 2025

https://github.com/aman-17/deep-learning-practise

Practicing deep learning also involves being familiar with the libraries and frameworks like Tensorflow, Pytorch, Theano, etc. that are commonly used to train and deploy deep learning models, as well as staying up to date with the latest research and advancements in the field.

deep-learning deep-neural-networks python pytorch tensorflow

Last synced: 25 Jan 2025

https://github.com/harikishan-ai/harikishan-ai

I am dedicated to delivering innovative solutions that align with business objectives while ensuring optimal performance, reliability, and security. My strong analytical skills, attention to detail, and problem-solving abilities drive me to create effective and efficient solutions.

analystics automation aws-ec2 aws-lambda aws-s3 awsglue cnn deep-neural-networks logs lstm machine-learning oops-in-python powerbi python rnn transformers

Last synced: 25 Jan 2025