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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/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/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: 16 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/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: 16 Nov 2024

https://github.com/kumar-shivam-ranjan/recognizing-human-activity-using-multiple-wearable-accelerometer-sensors

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

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

Last synced: 13 Nov 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/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/clberube/gims

Command line interface for geospatial image segmentation

deep-neural-networks geospatial-analysis segmentation unet

Last synced: 19 Nov 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/coditheck/tensorflow

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

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

Last synced: 21 Dec 2024

https://github.com/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/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/anibalalpizar/python-deep-learning-temperature-converter

Celsius to Fahrenheit converter using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

https://github.com/lugq1990/neural-nets

Build deep learning models more efficient based on TensorFlow.

deep-learning deep-neural-networks machine-learning tensorflow

Last synced: 08 Jan 2025

https://github.com/cooldragon12/solana-forecasting-using-lstm

A time series forecasting analysis using LSTM for the Solana Price

deep-neural-networks lstm lstm-model machine-learning

Last synced: 07 Jan 2025

https://github.com/papapana/sagemaker-sentiment-analysis

Sentiment Analysis with LSTMs deployed in Amazon Sagemaker

aws aws-lambda deep-learning deep-neural-networks lstm sagemaker sentiment-analysis

Last synced: 14 Nov 2024

https://github.com/wielkadraka/lunar-landing-q-learing

AI playing Lunar Landing from python gymnasium library

deep-neural-networks deep-q-learning lunar-lander python3

Last synced: 12 Nov 2024

https://github.com/mohammad95labbaf/energyprediction-arima-transformer

This report investigates the energy consumption prediction using time series analysis and deep learning methodologies. The extracted features and implemented transformer model demonstrate a high predictive accuracy.

arima arma deep-learning deep-neural-networks deeplearning feature-extraction feature-selection lstm lstm-neural-networks prediction time-series time-series-analysis timeseries transformer

Last synced: 14 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: 14 Nov 2024

https://github.com/venkat-a/text_processing_rnn_lstm

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.

categorical-encoding deep-neural-networks embedding-vectors lstm-neural-networks model-evaluation-and-tuning nltk-tokenizer numpy-arrays pandas-dataframe pytorch-nlp rnn-encoder-decoder tokenization vocabulary-builder

Last synced: 08 Jan 2025

https://github.com/piero24/lossfuncition-4sn

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei

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). 🧠🔍

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: 14 Nov 2024

https://github.com/sloppycoder/coursera_tf_in_practice

Notebook for Coursera Tensorflow in Practices courses

deep-learning deep-neural-networks python tensorflow

Last synced: 12 Nov 2024

https://github.com/mwanginjuguna/deeplearning-with-fast-ai

Exploring Deep Learning on Kaggle.com. Mainly through the eyes of Practical deep learning for coders with Jeremy Howard on fast.ai

deep-neural-networks fastai ml pytorch

Last synced: 14 Nov 2024

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: 12 Nov 2024

https://github.com/namratagulati/textingwithcnn

This project focuses on the training and evaluation of a TextCNN model for text classification. The model architecture includes an embedding layer, convolutional layers with max-pooling, dropout for regularization, and a softmax layer for classification

convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks deeplearning

Last synced: 08 Jan 2025

https://github.com/wwwwwydev/pen-stroke-segmentation

基于深度学习中全卷积网络的字体笔划分割(笔画分割)解决方案 A Solution for Font Stroke Segmentation (Stroke Segmentation) Based on Fully Convolutional Networks in Deep Learning

deep-learning deep-neural-networks pen-strokes python pytorch

Last synced: 12 Nov 2024

https://github.com/harshuljain13/dogsbreedclassification

Classifying the dogs breed using transfer learning in DeepLearning

deep-learning deep-neural-networks inceptionv3 keras tensorflow transfer-learning

Last synced: 30 Dec 2024

https://github.com/shivamgupta92/analysis-of-market-trends-using-deep-learning

Analysis of market trend using Deep Learning is project that forecasts stock prices using historical data and ML models. Leveraging data collection, feature engineering, and model training. Primarily designed for the Indian stock market, it is adaptable for international markets, providing valuable insights for investors and analysts.

deep-neural-networks keras mysql numpy pandas python3 scikit-learn-api tensorflow time-series-analysis yfinance-api

Last synced: 12 Nov 2024

https://github.com/shivamgupta92/sih1477_project_smartindiahackathon

Deploying human soldiers in hazardous environments comes with significant risks, including injuries, fatalities, and potential loss of critical military intelligence due to human errors.

deep-neural-networks figma fusion-360 html-css-javascript lidar raspberry-pi

Last synced: 12 Nov 2024

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: 12 Nov 2024

https://github.com/aishwaryahastak/alzheimer-s-detection

Alzheimer's Detection from Brain MRI scans using DNN

deep-neural-networks healthcare image-classification

Last synced: 02 Jan 2025

https://github.com/faisal-fida/nlp-classification-qna-for-beginners

Natural language processing (NLP) tasks: text classification and text generation. The notebooks explore different techniques and models for handling these tasks, offering insights into common challenges and solutions.

challenges deep-neural-networks nlp-machine-learning text-classification text-generation

Last synced: 08 Jan 2025

https://github.com/maxvandenhoven/deep-defect-detection

University project applying deep neural networks and automatic hyperparameter optimization to detect defects in manufactured parts

binary-classification convolutional-neural-networks deep-learning deep-neural-networks defect-detection hyperopt hyperparameter-optimization python pytorch sklearn

Last synced: 29 Dec 2024

https://github.com/athari22/sentiment-analysis-web-app

In this project, I created a Sentiment Analysis Web App using PyTorch and SageMaker. This project is part of the deep learning nanodegree program at udacity. Project Overview In this project, I constructed a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. Used Amazon's SageMaker service. In addition, created a simple web app that will interact with the deployed model.

amazon amazon-web-services deep-learning deep-neural-networks machine-learning neural-network python pytorch sagemaker sentiment-analysis

Last synced: 30 Dec 2024

https://github.com/athari22/tv-script-generation

In this project, I generated Seinfeld TV scripts using RNNs.This project is part of udacity deep learning nanodegree program. The Neural Network will generate a new, "fake" TV script, based on patterns it recognizes in this training data.

deep-learning deep-neural-networks machine-learning neural-network python pytorch rnn rnn-encoder-decoder rnn-model rnn-pytorch

Last synced: 30 Dec 2024

https://github.com/alandoescs/ml-reading-group

The GitHub Page of the Bavarian International School Machine Learning Reading Group

deep-learning deep-neural-networks machine-learning neural-networks reading-list

Last synced: 29 Dec 2024

https://github.com/kaocc/nerf_2d

Experiments of 2D NeRF (Neural Radiance Fields)

deep-neural-networks nerf

Last synced: 14 Nov 2024

https://github.com/bismillah-jan/deep-neural-network

A demonstration of Deep Neural Network implementation using TensorFlow.

adaline-learning-algorithm deep-neural-networks keras tensorflow

Last synced: 16 Nov 2024

https://github.com/m0saan/guitardetect

Deep Learning for Guitars 🎸: Guitar Classifier using CNN

cnn cnn-classification deep-neural-networks guitar-classifier

Last synced: 16 Nov 2024

https://github.com/saravanabalagi/deep_learning

My solutions for Deep Learning by Google MOOC on Udacity

deep-learning deep-neural-networks solutions udacity

Last synced: 25 Dec 2024

https://github.com/omerbsezer/basicrnn

The aim of this implementation is to help to learn structure of basic RNN (RNN cell forward, RNN cell backward, etc..)

deep-learning deep-neural-networks rnn tutorial-code

Last synced: 11 Nov 2024

https://github.com/barbarpotato/sentiment-analysis-bangkit-capstone-project

This Project was from Bangkit Capstone Project, the goal from this repository, is to built the sentiment analysis to classified the sentence is it the positive or the negative sentiment about the specific event organizer review.

deep-learning deep-neural-networks h5 natural-language-processing sentiment-analysis tflite-models

Last synced: 12 Nov 2024

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: 12 Nov 2024

https://github.com/quarkgluant/deeplearning_tf

the "hello world" of the Deep Learning, MNIST dataset with tensorflow

deep-neural-networks python3 tensorflow-examples

Last synced: 07 Jan 2025

https://github.com/quarkgluant/deep_learning_a_z

french Udemy course based on the Kirill Eremenko's course on deep learning with Python

deep-learning deep-learning-tutorial deep-neural-networks python3 pytorch tensorflow

Last synced: 07 Jan 2025

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 Nov 2024

https://github.com/sadmansakib93/petals-to-the-metal-flower-classification-kaggle

This notebook is the solution for Kaggle's Petals to the Metal - Flower Classification on TPU challenge: https://www.kaggle.com/c/tpu-getting-started

artificial-intelligence classification deep-learning deep-neural-networks densenet flower-classification kaggle kaggle-competition kaggle-petals keras keras-neural-networks notebook tpu-challenge transfer-learning

Last synced: 12 Nov 2024

https://github.com/sadmansakib93/arctic-mammal-classification

Deep learning model for acoustic detection and classification of Bowhead whales. This repo contains code for the binary classification model, two classes are: Bowhead whales (BH), Other/background.

annotations audio-analysis audio-classification classification deep-learning deep-neural-networks machine-learning python spectrogram tensorflow

Last synced: 12 Nov 2024

https://github.com/amazon-science/contrastive_emc2

Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"

contrastive-learning deep-neural-networks machine-learning machine-learning-algorithms mcmc-sampling multi-modal multi-modal-learning

Last synced: 12 Nov 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 Nov 2024

https://github.com/zubair-irshad/udacity_deep_rl

My solutions (with explanations) to the Udacity Deep Reinforcement Learning Nano Degree Program assignments, mini-projects and projects

ddpg-algorithm deep-neural-networks deep-q-network deep-reinforcement-learning dqn ppo pytorch reinforcement-learning unity-ml-agents

Last synced: 16 Nov 2024

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 Nov 2024

https://github.com/rafaykhattak/captionify

With Captionify, users can upload an image or enter an image URL to generate a descriptive caption that accurately describes the contents of the image.

deep-neural-networks encoder-decoder-model gpt-2 transfer-learning transformer vision-transformer

Last synced: 13 Nov 2024

https://github.com/phyulwin/machine-learning-with-python-projects

Projects for Machine Learning with Python freeCodeCamp (Updated Solution in Progress... 🌿)

deep-neural-networks google-colab machine-learning python tensorflow

Last synced: 30 Dec 2024

https://github.com/motykatomasz/deepimageprior

Project reproducing part of "Deep Image Prior" paper, conducted for Deep Learning course (CS4240) at TU Delft.

cnn deep-learning deep-neural-networks pytorch

Last synced: 15 Dec 2024

https://github.com/redleader962/une-intuition-sur-rudder

Ressources pour la présentation orale: "Une intuition sur RUDDER (Return Decomposition for Delayed Rewards)"

deep-learning deep-neural-networks deep-reinforcement-learning neural-network reward-shaping

Last synced: 24 Dec 2024

https://github.com/hawmex/deep_learning_content

This repository contains my teaching material as a teaching assistant for the "Artificial Intelligence" course at AUT (Tehran Polytechnic).

convolutional-neural-networks deep-learning deep-neural-networks

Last synced: 29 Dec 2024