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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/yu4u/dnn-watermark

Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.

deep-learning deep-neural-networks keras watermak

Last synced: 29 Oct 2024

https://github.com/ajayarunachalam/msda

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

anamoly-detection-using-graphs anomaly-detection correlation data-analysis deep-learning deep-neural-networks explainable-artificial-intelligence feature-engineering feature-selection multidimensional-data multisensor python pytorch sensor sensor-data signal-processing tabular-data time-series variation visualization

Last synced: 18 Dec 2024

https://github.com/cgtuebingen/Flex-Convolution

Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

3d-point-clouds cuda deep-learning deep-neural-networks machine-learning pointcloud pointcloudprocessing research research-paper segmentation shapenet tensorflow

Last synced: 27 Oct 2024

https://github.com/shekit/machine-learning-demystified

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

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

Last synced: 09 Nov 2024

https://github.com/ajayarunachalam/deep_xf

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

auto-ml auto-timeseries deep-learning deep-neural-networks ecg-signal explainable-ml forecasting forecasting-models interpretable-ai machine-learning multivariate nowcasting-models python sensors siamese-neural-network time-series time-series-analysis timeseries

Last synced: 19 Dec 2024

https://github.com/senya-ashukha/simple-equivariant-gnn

A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks

deep-learning deep-neural-networks egnn equivariance gnn graph-neural-networks homo molecules neural-networks pytorch qm9

Last synced: 19 Nov 2024

https://github.com/haoxiangsnr/IRM-based-Speech-Enhancement-using-LSTM

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

deep-neural-networks ideal-ratio-mask lstm pytorch speech-enhancement

Last synced: 02 Nov 2024

https://github.com/RobotEdh/Yolov-4

Yolo v4 using TensorFlow 2.x

deep-neural-networks tensorflow tensorflow2 yolo yolov4

Last synced: 27 Oct 2024

https://github.com/hfawaz/ijcnn19ensemble

Deep Neural Network Ensembles for Time Series Classification

deep-learning deep-neural-networks ensemble time-series-classification

Last synced: 06 Nov 2024

https://github.com/knjcode/mxnet-finetuner

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

deep-learning deep-neural-networks fine-tuning-cnns machine-learning mxnet

Last synced: 08 Nov 2024

https://github.com/safellama/plexiglass

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

adversarial-attacks adversarial-machine-learning cybersecurity deep-learning deep-neural-networks machine-learning security

Last synced: 09 Nov 2024

https://github.com/palle-k/DL4S

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

autograd automatic-differentiation convolutional-neural-networks deep-learning deep-neural-networks derivatives gradient-descent machine-learning neural-networks optimizers recurrent-networks recurrent-neural-networks swift swift-machine-learning tensor

Last synced: 09 Dec 2024

https://github.com/mdietrichstein/yolo-tiny-v1-mobile

Yolo for Android and iOS - Mobile Deep Learning Object Detection in Realtime written in Kotlin and Swift

android computer-vision deep-learning deep-neural-networks ios keras keras-tensorflow mobile tensorflow

Last synced: 07 Dec 2024

https://github.com/fangwei123456/parametric-leaky-integrate-and-fire-spiking-neuron

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

deep-learning deep-neural-networks snn spiking-neural-networks

Last synced: 02 Dec 2024

https://github.com/bzantium/pytorch-admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

admm deep-neural-networks pruning

Last synced: 02 Nov 2024

https://github.com/google-research-datasets/wiki-atomic-edits

A dataset of atomic wikipedia edits containing insertions and deletions of a contiguous chunk of text in a sentence. This dataset contains ~43 million edits across 8 languages.

deep-learning deep-neural-networks nlp nlp-machine-learning wikipedia

Last synced: 08 Nov 2024

https://github.com/Carmezim/MIT-6.S094

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

6s094 assignments deep-learning deep-neural-networks lectures mit self-driving-car

Last synced: 27 Nov 2024

https://github.com/clesleycode/deep-learning-python

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

curriculum deep-learning deep-neural-networks lasagne python theano

Last synced: 27 Nov 2024

https://github.com/doocs/deep-learning

🙃 深度学习实践与知识总结

ai deep-learning deep-neural-networks doocs pytorch tensorflow

Last synced: 30 Oct 2024

https://github.com/maekawatoshiki/altius

Small ONNX inference runtime written in Rust

deep-neural-networks onnx rust wasm

Last synced: 24 Dec 2024

https://github.com/sebgao/ctensor

A super light-weight deep learning library based on NumPy in PyTorch fashion.

deep-learning deep-neural-networks numpy pytorch

Last synced: 26 Dec 2024

https://github.com/dancsalo/tensorflow-mil

TF Implementation of Multiple Instance Learning FCN.

deep-neural-networks microscopy multiple-instance tensorflow

Last synced: 16 Nov 2024

https://github.com/snap-research/f8net

[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization

8-bit deep-learning deep-neural-networks efficient-neural-networks quantization

Last synced: 15 Nov 2024

https://github.com/mhw32/derm-ai

Machine Learning for Skin Disease Classification

deep-neural-networks mole skin-detection

Last synced: 10 Dec 2024

https://github.com/blinkdl/blinkdl

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

alphago deep-learning deep-neural-networks deeplearning neural-network neural-networks

Last synced: 22 Oct 2024

https://github.com/Fontinalis/fonet

fonet is a deep neural network package for Go.

deep-neural-networks golang machine-learning

Last synced: 26 Oct 2024

https://github.com/rohitrango/objects-that-sound

Unofficial Implementation of Google Deepmind's paper `Objects that Sound`

audio-video audioset cross-modal deep-learning deep-neural-networks deeplearning deepmind embeddings machine-learning

Last synced: 08 Nov 2024

https://github.com/sayakpaul/adaptive-gradient-clipping

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

colab-notebook computer-vision deep-neural-networks normalization-free-training tensorflow2

Last synced: 28 Dec 2024

https://github.com/kailaix/AdFem.jl

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

adjoint-method automatic-differentiation deep-neural-networks finite-element-methods machine-learning numerical-pdes

Last synced: 13 Nov 2024

https://github.com/google-research-datasets/query-wellformedness

25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions.

deep-learning deep-neural-networks information-retrieval nlp nlp-machine-learning search-engine

Last synced: 08 Nov 2024

https://github.com/hellloxiaotian/acnet

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

blind-super-resolution cnn cnn-pytorch deep-learning deep-network deep-neural-networks image-processing low-level-vision python2 python27 pytorch pytorch-cnn super-resolution

Last synced: 22 Dec 2024

https://github.com/abhijit-2592/model-server

gRPC server for hosting ML models trained on any framework in python

deep-neural-networks deployment model-deployment mxnet pytorch tensorflow

Last synced: 21 Dec 2024

https://github.com/the-full-stack/fsdl-text-recognizer-2022

Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs

deep-learning deep-neural-networks machine-learning mlops mlops-community mlops-workflow

Last synced: 11 Nov 2024

https://github.com/napsternxg/deepsequenceclassification

Deep neural network based model for sequence to sequence classification

deep-neural-networks named-entity-recognition sequence-classification

Last synced: 28 Oct 2024

https://github.com/fabioperez/pytorch-examples

Tutorials, examples, and projects implemented with PyTorch

deep-learning deep-neural-networks examples machine-learning pytorch tutorials

Last synced: 05 Nov 2024

https://github.com/albertoxamin/telegram-deep-fakes-bot

This telegram bot uses the first order model to produce deepfakes video notes

deep-fakes deep-neural-networks first-order-motion-model google-colab telegram-bot

Last synced: 17 Nov 2024

https://github.com/zlpure/CS231n

My Solution to Assignments of CS231n in Winter2016

anaconda deep-learning deep-neural-networks

Last synced: 27 Nov 2024

https://github.com/manila95/BASS-Net

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

bass-net computer-vision deep-neural-networks hyperspectral-images landcover-classification

Last synced: 15 Nov 2024

https://github.com/jay-johnson/train-ai-with-django-swagger-jwt

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

ai ai-security anti-nex celery celery-tasks deep-neural-networks django-rest-framework drf jwt keras machine-learning machine-learning-security network-analysis network-security openshift rest-api swagger tensorflow

Last synced: 01 Nov 2024

https://github.com/IliaZenkov/sklearn-audio-classification

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

audio audio-data classification deep-learning-tutorial deep-neural-networks dnns emotion emotion-detection emotion-recognition feature-engineering machine-learning machine-learning-tutorials mlp-model model-evaluation ravdess-dataset scikit-learn sklearn

Last synced: 28 Oct 2024

https://github.com/SIP-Lab/CNN-VAD

A Convolutional Neural Network based Voice Activity Detector for Smartphones

deep-learning deep-neural-networks digital-signal-processing smartphone speech-processing

Last synced: 14 Nov 2024

https://github.com/chnsh/deep-semantic-code-search

Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application

deep-learning deep-neural-networks nlp nlp-machine-learning

Last synced: 27 Oct 2024

https://github.com/braun-steven/dfi-tensorflow

Implementation of Deep Feature Interpolation in Tensorflow using a VGG19 model

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

Last synced: 22 Oct 2024

https://github.com/soskek/convolutional_seq2seq

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

chainer deep-learning deep-neural-networks machine-learning seq2seq

Last synced: 16 Nov 2024

https://github.com/qdata/deepchrome

Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications

bioinformatics deep-neural-networks epigenetic-data understanding-computation

Last synced: 12 Nov 2024

https://github.com/podgorskiy/vae

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

autoencoder celeba celeba-dataset deep-learning deep-neural-networks deeplearning faces pytorch vae variational-autoencoder

Last synced: 12 Nov 2024

https://github.com/vmarkovtsev/bidisentiment

Two-way deep RNN for sentiment classification.

deep-neural-networks recurrent-neural-networks sentiment-analysis

Last synced: 08 Nov 2024

https://github.com/hellloxiaotian/ecndnet

Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)

cnn cnn-pytorch deep-learning deep-neural-networks dilated-convolution image-denoise low-level-vision residual-learning

Last synced: 11 Nov 2024

https://github.com/hellloxiaotian/ctnet

A cross Transformer for image denoising(Information Fusion, 2024)

cnn computer-vision deep-learning deep-neural-networks image-denoising pytorch transformer

Last synced: 26 Dec 2024

https://github.com/ayulockin/losslandscape

Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

deep-neural-networks keras loss-landscape neural-networks tensorflow

Last synced: 22 Oct 2024

https://github.com/hfawaz/ijcnn19attacks

Adversarial Attacks on Deep Neural Networks for Time Series Classification

adversarial-attacks adversarial-examples deep-learning deep-neural-networks time-series-classification

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-ai-brain-computer-interface 111 awesome-speech-emotion-recognition 119 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