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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/zafarali/sentiment.datalogue

Sentiment analysis challenge for Datalogue recruiting

deep-neural-networks machine-learning nlp sentiment-analysis

Last synced: 13 Oct 2024

https://github.com/drewwiens/tensorflow-dnns-for-predicting-dna-transcription-factor-binding

Deep neural networks implemented in TensorFlow & Python for predicting whether transcription factors will bind to given DNA sequences

bioinformatics deep-neural-networks dna-sequences machine-learning tensorflow transcription-factors

Last synced: 01 Dec 2024

https://github.com/khalidbourr/adeept-raspberryyolo-follower

Human Following algorithm implemented on the Adeept AWR 4WD WiFi Smart Robot Car Kit for Raspberry Pi 4 Model. Utilizes YOLOv5 for person detection, empowering the robot to track and follow a human. Accompanied with tailored installation guides for Torch, Torchvision and ROS Noetic on Raspberry Pi 32-bit OS and the robot setup.

deep-neural-networks distributed-architecture distributed-computing distributed-systems human-following-bot motion-planning object-detection perception python3 raspberry-pi-4 robotics

Last synced: 11 Oct 2024

https://github.com/justusschock/dl-utils

Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)

cnn deep-learning deep-neural-networks loss-functions metrics models neural-network python pytorch

Last synced: 23 Oct 2024

https://github.com/lamm-mit/fieldcompleter

GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and further characterize the composite geometries from the recovered mechanical fields for 2D and 3D complex microstructures

analysis computer-vision convolutional-neural-networks deep-learning deep-neural-networks design engineering fracture materials materials-informatics non-destructive-testing science strain stress testing transformers

Last synced: 22 Oct 2024

https://github.com/aditya30394/person-re-identification

Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.

deep-learning deep-neural-networks machine-learning person-re-identification person-reidentification python pytorch pytorch-cnn pytorch-gan

Last synced: 17 Oct 2024

https://github.com/hellloxiaotian/pslnet

Perceptive self-supervised learning network for noisy image watermark removal （IEEE Transactions on Circuits and Systems for Video 2024）

cnn deep-learning deep-neural-networks image-denoising python pytorch unet watermark-removal

Last synced: 11 Nov 2024

https://github.com/magiccube/cenim-analytics

基于 Tensorflow 和深度神经网络，对 cenim 项目中搜集到的用户对电影的评价进行分析。

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

Last synced: 24 Nov 2024

https://github.com/sovit-123/image-deblurring-using-deep-learning

PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.

computer-vision computer-vision-neural-networks convolutional-neural-networks deep-learning deep-neural-networks deeplearning-image-deblur image-deblur image-deblurring machine-learning neural-networks pytorch

Last synced: 08 Dec 2024

https://github.com/cainmagi/mdnt

Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.

adabound auto-encoder cnn deep-learning deep-neural-networks extension keras keras-tensorflow python python-library python3 python36 swats tensorflow tensorflow-keras toolbox toolkit

Last synced: 27 Oct 2024

https://github.com/nishant-sethi/deeplearning.ai

This is my assignment on Andrew Ng's special course "Deep Learning Specialization" This course consists of five courses: Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models

andrew-ng-course artificial-intelligence coursera deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deeplearning-ai face-recognition jupyter-notebook machine-learning object-detection python tensorflow-experiments

Last synced: 10 Oct 2024

https://github.com/dohlee/spliceai-pytorch

Implementation of SpliceAI, Illumina's deep neural network to predict variant effects on splicing, in PyTorch.

artificial-intelligence bioinformatics biology computational-biology deep-learning deep-neural-networks reproduction reproduction-code splicing variant-effect-prediction

Last synced: 11 Nov 2024

https://github.com/mikel-brostrom/deep_spammer_detection_gcn

An introduction to graph convolutional neural networks with PyTorch Geometric

deep-neural-networks graph-convolutional-network spammer-detection

Last synced: 07 Nov 2024

https://github.com/ddz16/preformer

This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

artificial-intelligence correlation-analysis deep-learning deep-neural-networks predictive-modeling time-series time-series-analysis time-series-forecasting time-series-prediction transformer

Last synced: 06 Nov 2024

https://github.com/zhenye-na/coursera-ml

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

andrew-ng andrew-ng-course andrew-ng-machine-learning anomaly-detection coursera decision-trees deep-learning deep-neural-networks kernel-functions linear-regression logistic-regression machine-learning principal-component-analysis support-vector-machines

Last synced: 12 Nov 2024

https://github.com/trykatchup/tesi-triennale

Progetto di strumenti basati su Deep Neural Network per la rilevazione di similarità tra password (Tesi Triennale, Ingegneria Informatica T - Alma Mater Studiorum, Università di Bologna)

artificial-intelligence deep-neural-networks nlp password password-similarity security-privacy-machine-learning

Last synced: 22 Nov 2024

https://github.com/dunnkers/neural-network-backdoors

Implementations and demo of a regular Backdoor and a Latent backdoor attack on Deep Neural Networks.

backdoor-attacks backdoors deep-learning deep-neural-networks mobilenet neural-networks onnx pytorch

Last synced: 14 Oct 2024

https://github.com/vipul2001/modern-cnns-implementation

AlexNet , VGG Blocks , Network In Network (NIN),GoogleNet,ResNet,DenseNet Using Pytorch

alexnet deep-learning deep-neural-networks loss network pytorch

Last synced: 16 Nov 2024

https://github.com/rwightman/pytorch-commands

Some PyTorch code for the Kaggle Speech Recognition Challenge

deep-neural-networks kaggle pytorch speech-recognition

Last synced: 05 Dec 2024

https://github.com/yas-sim/openvino_open_model_zoo_toolkit

Python wrapper library for Intel distribution of OpenVINO and Open Model Zoo (OMZ) models. User can use DL by simple function calls with this library.

age-gender deep-learning deep-neural-networks deeplearning emotion face-detection facial-landmarks human-pose image-classification intel model-zoo object-detection openvino python text-detection wrapper-library

Last synced: 16 Nov 2024

https://github.com/justanhduc/stack-chamfer

A generalized Chamfer distance implementation in CUDA/Pytorch

chamfer-distance chamferloss deep-learning deep-neural-networks point-cloud pytorch

Last synced: 10 Dec 2024

https://github.com/autrainer/autrainer

A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks.

autrainer computer-audition deep-learning deep-neural-networks pytorch

Last synced: 01 Nov 2024

https://github.com/aifred-health/vulcan-old

Deprecated: A high level deep learning framework for quickly prototyping networks with added tools in data visualisation, model interpretability and performance metrics

data-analysis deep-learning deep-neural-networks lasagne machine-learning mental-health theano

Last synced: 05 Dec 2024

https://github.com/meqdaddev/teachable-machine-lite

A Python package to simplify the deployment process of exported Teachable Machine models into different Robotics, AI and IoT controllers such as: Raspberry Pi, Jetson Nano and any other SBCs using TensorFlowLite framework.

deep-learning deep-neural-networks image-classification machine-learning opencv opencv-python pypi pypi-package python raspberry-pi teachable-machine tensorflow tensorflow2 tensorflowlite tensorflowlite-for-microcontrollers tflite

Last synced: 28 Oct 2024

https://github.com/saikat-roy/vision-systems-lab

MLPs, DCNNs, Deep Convolutional Autoencoders, LSTM, GRU, ResNets, DCGAN - CudaVision Lab at University of Bonn (SS19)

deep-learning deep-neural-networks jupyter-notebook python3 pytorch pytorch-implmention university-of-bonn

Last synced: 05 Nov 2024

https://github.com/naivehobo/smart-i

Smart-I is an android application aimed at helping the visually impaired using artificial intelligence and cloud computing.

andorid android android-app android-application caption captioning captioning-images captions cloud cloud-computing deep-learning deep-neural-networks image-recognition visualization

Last synced: 23 Oct 2024

https://github.com/plandes/deepnlp

Deep learning utility library for natural language processing

deep-learning deep-neural-networks framework natural-language-processing nlp

Last synced: 08 Nov 2024

https://github.com/beegass/cs-541-deep-learning

CS-541 Deep Learning is a graduate class that teaches both a theoretical and practical approach to deep learning. You will be able to see this in the different homework files in the form of workable code that can be tested as well as proofs and explanations as to where the code is coming from.

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network recurrent-neural-networks

Last synced: 03 Oct 2024

https://github.com/hariharan-devarajan/vanidl

VaniDL is an tool for analyzing I/O patterns and behavior with Deep Learning Applications.

ai analysis data deep-learning deep-neural-networks machine-learning profile storage tensorflow2

Last synced: 28 Oct 2024

https://github.com/yas-sim/openvino_auto_benchmark

Semi-automated OpenVINO benchmark_app with variable parameters. User can specify multiple options for any parameters in the benchmark_app and the progam runs the benchmark with all combinations of given options.

automation automation-test benchmark deep-learning deep-neural-networks deeplearning inference intel openvino performance-ben performance-test performance-testing

Last synced: 16 Nov 2024

https://github.com/sardhendu/cifar10-object-recognition

{Python}: Mix-Match of several image Processing and Machine Learning Techniques for object recognition

classification computer-vision deep-learning deep-neural-networks machine-learning-algorithms python3 tensorflow

Last synced: 15 Nov 2024

https://github.com/zyxue/stanford-cs224n

Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)

cs224n deep-learning deep-neural-networks nlp stanford-machine-learning stanford-nlp tensorflow

Last synced: 23 Oct 2024

https://github.com/shekit/deep-learning-daily

Almost daily deep learning projects

deep-learning deep-neural-networks keras python tensorflow

Last synced: 09 Nov 2024

https://github.com/Bassem-Makni/NMT4RDFS

Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-learning-noise-tolerant-rdfs-reasoning-4

deep-learning deep-neural-networks graph-words nmt nmt-model noise-tolerance rdf rdfs reasoning semantic-web sparql

Last synced: 11 Nov 2024

https://github.com/playboy-player/pytorch_dart

Pytorch_Dart is a dart wrapper for Libtorch,striving to provide an experience identical to PyTorch. You can use it as an alternative to Numpy in your Dart/Flutter projects.

android computer-vision cpp cross-platform dart dart-package dartlang deep-learning deep-neural-networks deeplearning flutter flutter-package libtorch linux machine-learning numpy pytorch tensor torch windows

Last synced: 12 Oct 2024

https://github.com/shaoxiongji/dcan

Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text, ClinicalNLP workshop at EMNLP 2020

clinical-nlp deep-neural-networks icd-coding

Last synced: 07 Nov 2024

https://github.com/natbusa/deepnumbers

A set of educational deep learning demos applied to the MNIST dataset

deep-learning-tutorial deep-neural-networks machine-learning

Last synced: 13 Nov 2024

https://github.com/akhilthomas17/reinforced_visual_slam

Reinforcement for state of the art visual slam algorithms with Deep Learning based solutions. Part of my master thesis at University of Freiburg

deep-neural-networks python3 ros ros-kinetic ros-messages ros-services

Last synced: 21 Nov 2024

https://github.com/karolzak/images-vector-search

Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training

cnn deep-learning deep-neural-networks embedding-models image image-processing images keras keras-tensorflow neural-networks resnet resnet-152 resnet-50 similarity-detection similarity-search transfer-learning vector-search vgg vgg19 visual-search

Last synced: 23 Oct 2024

https://github.com/rajsoni03/neuralplot

Neural Plot is a python library for visualizing Neural Networks. It helps to plot Keras/Tensorflow model with matplotlib backend.

3d deep-neural-networks graph keras library matpolotlib neural-network neuralplot tensorflow visualization

Last synced: 11 Oct 2024

https://github.com/PrincySinghal/Document-classification-and-Data-extraction

Splitting and classifying documents from a pdf or image consisting of 5 classes of documents like Aadhar card,Pan etc followed by information retrieval from each document.

cnn deep-neural-networks ocr python sequential-models

Last synced: 06 Nov 2024

https://github.com/ritvik19/pyradox-tabular

State of the Art Neural Networks for Tabular Deep Learning

deep-learning deep-neural-networks tabular-data

Last synced: 13 Oct 2024

https://github.com/liuruoze/thought-sc2

(TG'2021) Code for paper "Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning". TG = Transactions on Games.

deep-neural-networks deep-reinforcement-learning reinforcement-learning starcraft starcraft-broodwar starcraft-ii starcraft-ii-bot starcraft2 starcraft2-ai tensorflow transfer-learning

Last synced: 07 Nov 2024

https://github.com/vanditg/person-retrieval-avss-2018

Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".

alexnet-model color-classification deep-learning deep-neural-networks gender-recognition height-estimation keras maskr-cnn person-retrieval surveillance-video tensorflow

Last synced: 05 Nov 2024

https://github.com/bobazooba/wgpt

This repository features an example of how to utilize the xllm library. Included is a solution for a common type of assessment given to LLM engineers, who typically earn between $120,000 to $140,000 annually

alpaca cerebras chatgpt deep-learning deep-neural-networks deeplearning falcon gpt language-model large-language-models llama2 llama2-7b llm mistral mistralai natural-language-processing nlp openai vicuna zephyr

Last synced: 06 Dec 2024

https://github.com/mr7495/Pistachio-Counting

The Counter Algorithm for counting the open-mouth & closed-mouth pistachios from the paper https://doi.org/10.1007/s42044-021-00090-6

counting-objects deep-learning deep-neural-networks object-detection pistachio

Last synced: 05 Nov 2024

https://github.com/uber-research/fsdm

Code tor the SIGDIAL 2019 paper Flexibly-Structured Model for Task-Oriented Dialogues. It implements a deep learning end-to-end differentiable dialogue system model

deep-learning deep-neural-networks dialogue-agents dialogue-systems natural-language-generation natural-language-processing natural-language-understanding

Last synced: 25 Nov 2024

https://github.com/georgeerol/deeplearningdronesimulator

This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.

deep-learning deep-neural-networks robotics segmentation simulation tensorflow

Last synced: 13 Nov 2024

https://github.com/0101011/bootstrap-ml

A comprehensive collection of pre-written code for machine learning and deep learning use cases, all in one convenient place. Whether you're a seasoned practitioner or just starting your ML journey, this repository provides a solid foundation to build upon.

deep-learning deep-neural-networks documentation machine-learning tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 09 Nov 2024

https://github.com/thomashirtz/noisy-networks

Minimal implementation of the network layers of the paper "Noisy Networks for Exploration" using Pytorch.

deep-learning deep-neural-networks machine-learning noisy-networks python pytorch reinforcement-learning

Last synced: 06 Nov 2024

https://github.com/dn070017/variational-autoencoders

Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2

deep-neural-networks tensorflow2 variational-autoencoder

Last synced: 14 Nov 2024

https://github.com/darkmatter18/underwater-image-enhancement

A Deep Learning CycleGAN Based application, that can enhance the underwater images.

cyclegan deep-learning deep-neural-networks enhancement gan pytorch underwater-images

Last synced: 24 Oct 2024

https://github.com/mafda/deep_learning_101

Introduction to the basic notions that involve the concept of Machine Learning and Deep Learning. Linear Regression, Logistic Regression, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks.

artificial-neural-networks cnn-keras conda-environment convolutional-neural-networks deep-learning deep-neural-networks keras linear-regression logistic-regression machine-learning mnist neural-network python tensorflow

Last synced: 16 Nov 2024

https://github.com/alexander-soare/torchvision_feature_extraction_walkthrough

Walkthrough code for YouTube video https://www.youtube.com/watch?v=QRQBTkCLpFY

computer-vision deep-neural-networks pytorch torchvision

Last synced: 06 Nov 2024

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 539 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-experimental-standards-deep-learning 34 Awesome-Computational-Structural-Biology 40 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 Deep-Learning 38 awesome-approximate-dnn 78 awesome-ai-cybersecurity 158 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 946 Uncategorized 557 Classification COVID19 (Separate section due to its current significance) 462 Papers & Code 416 DL4M summary 358 Introduction 355 Overview 292 Tutorials 240 Other useful related lists and resources 201 Neural Networks (NN) and Deep Neural Networks (DNN) 197 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Tools for Robotics 94 Paper: 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Paper (Lidar-based method) 80