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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/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: 27 Jan 2025

https://github.com/ammahmoudi/covid-19-autoencoder

Using Autoencoder in keras as a nonlinear dimensionality reduction method to encode COVID-19 patients data

autoencoder covid-19 deep-learning deep-neural-networks dimension-reduction keras-tensorflow machine-learning ml

Last synced: 15 Jan 2025

https://github.com/ammahmoudi/fluxomic-prediction

Applying implicit deep learning and convex optimization layers to infer metabolic fluxes from gene expression data

bioinformatics deep-neural-networks fluxomics ml optimization transcriptomics

Last synced: 15 Jan 2025

https://github.com/mithoon278/deepfake-video-detection-resnext-and-lstm-

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features.

deep-learning deep-neural-networks deepfake-detection flask-application lstm python resnext-50

Last synced: 27 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/anibalalpizar/python-deep-learning-houseprice-prediction

Meters to price predictions using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

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/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: 28 Jan 2025

https://github.com/qile0317/bacteria-classifier-cnn

A resnet50 bacterial genus/strain classifier from the dibas dataset.

bacteria-classification cnn deep-learning deep-neural-networks fastai image-classification

Last synced: 19 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/suryanarayanaa/quantgrad

A Small(Quant) Auto Grad Library with visualization of individual operations within Neurons

autodifferentiation autograd autograder deep-learning deep-neural-networks visualization

Last synced: 12 Feb 2025

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/wielkadraka/lunar-landing-q-learing

AI playing Lunar Landing from python gymnasium library

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

Last synced: 11 Jan 2025

https://github.com/lim-calculus/deep-learning-based-semantic-segmentation-with-pytorch-and-onnx

Deep learning-based semantic segmentation model using the PyTorch and ONNX framework

ai deep-learning deep-neural-networks onnx onnxruntime pytorch semantic-segmentation

Last synced: 22 Jan 2025

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/piero24/vanillanet-cpp

A fully connected Neural Network in C++ with SGD from scratch, achieving 98% accuracy on the MNIST dataset.

backpropagation cmake cpp deep-learning deep-neural-networks loss-functions neural-network neural-networks-from-scratch opencv softmax

Last synced: 12 Feb 2025

https://github.com/sloppycoder/coursera_tf_in_practice

Notebook for Coursera Tensorflow in Practices courses

deep-learning deep-neural-networks python tensorflow

Last synced: 11 Jan 2025

https://github.com/atharvapathak/hand_gesture_recognition_case_study

This project involves building a 3D Convolutional Neural Network (CNN) to correctly recognize hand gestures by a user to control a smart TV using 3D-CNN and 2D-CNN + RNN/LSTM/GRU.

cnn deep-neural-networks gesture-recognition machine-learning palm-detection python pytorch resnet tensorflow video-processing

Last synced: 15 Jan 2025

https://github.com/satya04m/recommender-system

The Recommender-System project is a machine learning-based application designed to predict user preferences and provide personalized recommendations. It leverages various algorithms, such as collaborative filtering and content-based filtering, to analyze user data and suggest relevant items. The project also includes a CI/CD pipeline for automating

deep-learning deep-neural-networks mse neural-network python recommendation-system rmse-score

Last synced: 22 Jan 2025

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: 13 Jan 2025

https://github.com/rahulbhoyar1995/ner-case-study

This repositiry contains the code for Case study of "Named-Entity Recognition" in Natural Language Processing.

deep-neural-networks natural-language-processing ner

Last synced: 15 Jan 2025

https://github.com/rahulbhoyar1995/coursera-ml-specialisation-certification

Explore my journey through the Coursera Machine Learning Specialization with this repository. Access practice materials, code implementations, and learning notes to enhance your understanding of machine learning concepts.

deep-learning deep-neural-networks machine-learning machine-learning-algorithms python3 reinforcement-learning-algorithms supervised-learning unsupervised-learning

Last synced: 15 Jan 2025

https://github.com/bilalhameed248/nlp-fake-news-classification

Fake News Classification using Naive Bayes, Passive-Aggressive (PA) Classifier and Artificia Neural Network (ANN)

artificial-neural-networks deep-learning deep-neural-networks embeddings machine-learning naive-bayes-classifier nlp nlp-basic passive-aggressive-classifier

Last synced: 16 Jan 2025

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: 11 Jan 2025

https://github.com/wa-lead/virtual_screnning_using_cnns

Using Chemception to predict the activity of molecules against aid_686978. Taking this further to visualize kernels decision process through Grad-CAM.

deep-neural-networks drug python tensorflow

Last synced: 26 Jan 2025

https://github.com/ahmad-ali-rafique/yolo-helmet-detection-app

This project implements a helmet detection system using YOLOv3 (You Only Look Once) and Streamlit. The application allows users to upload an image and detect helmets in real-time. The system uses OpenCV and pre-trained YOLOv3 weights to identify helmets in uploaded images, displaying the results with bounding boxes and confidence scores.

artificial-intelligence datascience deep-neural-networks helmet-detection image-processing machine-learning modeling opencv streamlit-dashboard yolov3

Last synced: 16 Jan 2025

https://github.com/kaocc/nerf_2d

Experiments of 2D NeRF (Neural Radiance Fields)

deep-neural-networks nerf

Last synced: 14 Jan 2025

https://github.com/ravisha-144/dl_practice

This repository follows the tutorials of the DL1 course at the UvA

deep-learning deep-neural-networks jax pytorch tensorflow

Last synced: 22 Jan 2025

https://github.com/minitechy/betavae_variants

beta-VAE variants trained using deep neural networks on the dSprites dataset with PyTorch

beta-vae deep-neural-networks disentanglement dsprites mig mutual-information pytorch sap

Last synced: 22 Jan 2025

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/dhrupad17/understanding-deep-learning-through-projects

This repository encapsulates a hands-on approach to mastering the intricate concepts of deep learning. Through practical engagement with real-world projects, learners immerse themselves in the nuances of neural networks, optimization techniques, and model architectures. This methodology fosters a profound comprehensio

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks lstm-neural-networks project-repository recurrent-neural-networks

Last synced: 16 Jan 2025

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: 16 Jan 2025

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 Jan 2025

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: 16 Jan 2025

https://github.com/ztrimus/digit-recognition-from-scratch-neural-network

Avoided use of Built-in Models, function in Pytorch. Used Pytorch API and MNIST Dataset.

deep-learning deep-neural-networks machine-learning neural-network python

Last synced: 22 Jan 2025

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: 09 Feb 2025

https://github.com/onome-joseph/nlp_cnn_classification

This project implements accurate tags or specifications to problems, or user complaints based on input text. The model is designed using neural networks to process data quickly and deliver high-performance results.

cnn-classification data-science deep-neural-networks multi-class-classification natural-language-processing

Last synced: 12 Feb 2025

https://github.com/justanhduc/sngan

A Theano implementation of Spectral Normalized GAN

deep-learning deep-neural-networks gan theano

Last synced: 04 Feb 2025

https://github.com/justanhduc/improved-wgan

A Theano implementation of Improved WGAN

deep-learning deep-neural-networks gan

Last synced: 04 Feb 2025

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: 12 Feb 2025

https://github.com/ardawanism/mlp-mixer-an-all-mlp-architecture-for-vision

In this repository, a very informative and comprehensive implementation of MLP-Mixer is provided for educational purposes using PyTorch.

computer-vision deep-learning deep-neural-networks fully-connected-network machinevision mlp mlp-mixer

Last synced: 20 Jan 2025

https://github.com/ardawanism/convmixer-patches-are-all-you-need

In this repository, a very informative and comprehensive implementation of ConvMixer architecture is provided for educational purposes using PyTorch.

cnns computer-vision convmixer convolutional-neural-networks deep-learning deep-neural-networks machinevision

Last synced: 20 Jan 2025

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: 08 Feb 2025

https://github.com/ardawanism/autoencoder_ml_kntu_spring2024

In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).

autoencoder autoencoder-neural-network autoencoders deep-learning deep-neural-networks machine-learning

Last synced: 20 Jan 2025

https://github.com/shashwat9kumar/covid_face_mask_detection

Detecting whether a person in the picture has face mask on or not using a convolutional neural network

cnn covid19 deep-learning deep-neural-networks face-detection mask-detection tensorflow

Last synced: 12 Jan 2025

https://github.com/maosong2022/tinyneuralnetwork

A simply C++ implemented neural networks

cpp cpp17 deep-learning deep-neural-networks

Last synced: 22 Jan 2025

https://github.com/alex-lechner/carnd-semanticsegmentation-p12

An approach for pixel-based classification of drivable parts of the road (known as Semantic Segmentation). Project 12 of Udacity's Self-Driving Car Engineer Nanodegree Program.

autonomous-vehicles deep-learning deep-neural-networks deeplearning fully-convolutional-networks self-driving-car semantic-segmentation tensorflow

Last synced: 22 Jan 2025

https://github.com/alex-lechner/carnd-behavioralcloning-p3

Driving a car around a track in Udacity's car simulator only with image data and neural networks. Project 3 of Udacity's Self-Driving Car Engineer Nanodegree Program.

autonomous-vehicles behavioral-cloning convolutional-neural-networks deep-learning deep-neural-networks keras keras-neural-networks self-driving-car udacity-self-driving-car

Last synced: 22 Jan 2025

https://github.com/himudigonda/digits-recognition

This project uses ML and keras modules to recognise digits from the given dataset.

deep-learning deep-neural-networks digit-recognizer jupyter-notebook keras tensorflow

Last synced: 15 Nov 2024

https://github.com/mawadamhd/deep-learning-with-keras-and-tensorflow-course

This repository contains materials for Deep Learning with Keras and TensorFlow course. This includes Jupyter notebooks, datasets, assignments, and solutions .

deep-learning deep-neural-networks keras keras-tensorflow tensorflow

Last synced: 02 Feb 2025

https://github.com/sensorsini/pycaffejaer

A collection of utilities useful to debug deep-networks trained with Caffe Deep Learning Framework. This utilities can also be used to convert caffe networks into jAER xml format

deep-learning deep-neural-networks machine-vision sensors

Last synced: 21 Jan 2025

Deep neural networks Awesome Lists
awesome-deep-learning-papers 238 Machine-Learning-Tutorials 484 awesome-deep-learning-music 248 Awesome-Learning-with-Label-Noise 276 awesome-deep-trading 94 awesome-colab-notebooks 556 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 awesome-multi-task-learning 229 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 Awesome-Information-Bottleneck 201 awesome-gans-and-deepfakes 61 awesome-video-object-detection 41 awesome-deep-neuroevolution 200 awesome-deep-reinforcement-learning 257 awesome-deepneuroimage 73 awesome-ai-cancer 193 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-tensorial-neural-networks 99 awesome-graph-research-iclr2024 34 awesome-speech-emotion-recognition 119 awesome-ai-brain-computer-interface 111 LiDAR-Guide 176 awesome-deepnote 41 CoreML-Guide 333 awesome-ai-cybersecurity 153 Awesome-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 Deep-Learning 38 awesome-approximate-dnn 78 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 944 Uncategorized 551 Classification COVID19 (Separate section due to its current significance) 510 Papers & Code 424 Introduction 371 DL4M summary 358 Overview 324 Tutorials 235 Neural Networks (NN) and Deep Neural Networks (DNN) 201 Other useful related lists and resources 200 Research 199 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Paper: 97 Tools for Robotics 94 Further Reading 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Using AI for Pentesting 84