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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/patrick-kidger/signatory

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

deep-learning deep-neural-networks logsignature logsignatures machine-learning pytorch rough-paths signature signatures

Last synced: 27 Dec 2024

https://github.com/prakhar21/50-Days-of-ML

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

100daysofcode 100daysofmlcode dataprocessing deep-learning deep-neural-networks machine-learning pandas python siraj-raval tutorial

Last synced: 08 Nov 2024

https://github.com/pierremtb/pinns-tf2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

deep-neural-networks mechanical-engineering partial-differential-equations physics-informed tf2

Last synced: 19 Dec 2024

https://github.com/analysiscenter/cardio

CardIO is a library for data science research of heart signals

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

Last synced: 13 Nov 2024

https://github.com/sushant097/Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow

Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

blstm cnn crnn-tensorflow ctc-loss deep-learning deep-neural-networks handwritten-text-recognition iam-dataset python3 recurrent-neural-network tensorflow

Last synced: 06 Nov 2024

https://github.com/PKU-DAIR/Hetu

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

artificial-intelligence autograd data-science deep-learning deep-neural-networks distributed-systems distributed-training embeddings gpu high-dimensional machine-learning python state-of-the-art

Last synced: 28 Oct 2024

https://github.com/kazuhito00/naruto-handsigndetection

物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)

deep-learning deep-neural-networks efficientdet handsign mobilenetv2-ssd naruto naruto-handsigndetection object-detection opencv tensorflow-lite tensorflow2

Last synced: 26 Dec 2024

https://github.com/Kazuhito00/NARUTO-HandSignDetection

物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)

deep-learning deep-neural-networks efficientdet handsign mobilenetv2-ssd naruto naruto-handsigndetection object-detection opencv tensorflow-lite tensorflow2

Last synced: 25 Nov 2024

https://github.com/devmount/germanwordembeddings

Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.

deep-learning deep-neural-networks evaluation gensim german-language model natural-language-processing neural-network nlp training word-embeddings word2vec

Last synced: 23 Dec 2024

https://github.com/activatedgeek/lenet-5

PyTorch implementation of LeNet-5 with live visualization

cnn convolutional-neural-networks deep-learning deep-neural-networks lenet5 machine-learning pytorch

Last synced: 24 Dec 2024

https://github.com/ryanfwy/image-similarity

Efficient utility of image similarity using deep neural network and deep learning.

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

Last synced: 07 Nov 2024

https://github.com/mic-dkfz/trixi

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

deep-learning deep-neural-networks deep-reinforcement-learning deeplearning example experiment experiment-infrastructure logging machine-learning python-3 python3 pytorch pytorch-cnn pytorch-visualization segmentation trixi u-net visdom visdom-logger visualization

Last synced: 23 Dec 2024

https://github.com/MIC-DKFZ/trixi

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

deep-learning deep-neural-networks deep-reinforcement-learning deeplearning example experiment experiment-infrastructure logging machine-learning python-3 python3 pytorch pytorch-cnn pytorch-visualization segmentation trixi u-net visdom visdom-logger visualization

Last synced: 15 Nov 2024

https://github.com/aangelopoulos/conformal_classification

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

artificial-intelligence classification classifier computer-vision conformal conformal-prediction deep-neural-networks distribution-free imagenet machine-learning neural-networks nonparametric nonparametric-statistics prediction-sets pytorch statistics uncertainty uncertainty-quantification vision

Last synced: 05 Nov 2024

https://github.com/frgfm/torch-scan

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

benchmark deep-learning deep-neural-networks flops flops-counter keras python pytorch pytorch-utils receptive-field summary

Last synced: 22 Dec 2024

https://github.com/vyraun/Megalodon

Various ML/DL Resources organised at a single place.

deep-learning deep-neural-networks machine-learning

Last synced: 27 Nov 2024

https://github.com/elcorto/imagecluster

Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.

clustering deep-neural-networks image-clustering pre-trained python

Last synced: 19 Dec 2024

https://github.com/mempirate/simple-neural-network

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

deep-learning deep-neural-networks deeplearning neural-network neurons

Last synced: 19 Dec 2024

https://github.com/maestro-project/maestro

An analytical cost model evaluating DNN mappings (dataflows and tiling).

dataflow deep-learning deep-neural-networks

Last synced: 30 Oct 2024

https://github.com/ethancaballero/improved-dynamic-memory-networks-dmn-plus

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

babi-tasks deep-learning deep-neural-networks neural-network nlp question-answering

Last synced: 15 Dec 2024

https://github.com/onnx/onnx-caffe2

Caffe2 implementation of Open Neural Network Exchange (ONNX)

caffe2 deep-learning deep-neural-networks

Last synced: 27 Nov 2024

https://github.com/vietnh1009/SSD-pytorch

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

computer-vision deep-learning deep-neural-networks deeplearning detection detector neural-networks object-detection pytorch ssd ssdlite

Last synced: 27 Nov 2024

https://github.com/basalt-org/basalt

A Machine Learning framework from scratch in Pure Mojo 🔥

ai autograd deep-learning deep-neural-networks machine-learning ml mojo neural-network tensor

Last synced: 21 Nov 2024

https://github.com/bukosabino/btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

bitcoin deep-learning deep-neural-networks forecast future machine-learning machine-learning-algorithms prediction price time-series trends xgboost

Last synced: 12 Dec 2024

https://github.com/annamalai-nr/graph2vec_tf

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

deep-learning deep-neural-networks graph graph-kernels kdd skipgram tensorflow

Last synced: 30 Oct 2024

https://github.com/sanyam5/arc-pytorch

The first public PyTorch implementation of Attentive Recurrent Comparators

computer-vision deep-learning deep-neural-networks machine-learning pytorch recurrent-neural-networks

Last synced: 27 Nov 2024

https://github.com/dataxujing/cnn-paper2

:art: :art: 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等:art::art: https://dataxujing.github.io/CNN-paper2/

arxiv cnn convolutional-networks cv deep-neural-networks deeplearning detection face-detection gans iccv-arxiv object-detection segmentation

Last synced: 17 Dec 2024

https://github.com/CEA-LIST/N2D2

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

artificial-intelligence deep-learning deep-learning-library deep-neural-networks machine-learning neural-network spike-inference

Last synced: 10 Nov 2024

https://github.com/NVlabs/condensa

Programmable Neural Network Compression

deep-neural-networks model-compression model-pruning

Last synced: 13 Nov 2024

https://github.com/cangermueller/deepcpg

Deep neural networks for predicting CpG methylation

deep-neural-networks deeplearning epigenetics methylation single-cell

Last synced: 06 Nov 2024

https://github.com/mpatacchiola/self-supervised-relational-reasoning

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

deep-learning deep-neural-networks deepcluster relational-reasoning rotnet self-supervised-learning simclr stl10 unsupervised-learning

Last synced: 19 Dec 2024

https://github.com/zilliztech/phantoscope

Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks

cloud-native deep-learning deep-neural-networks image-search machine-learning microservices milvus

Last synced: 06 Nov 2024

https://github.com/emergentorder/onnx-scala

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3

deep-learning deep-neural-networks dotty jvm machine-learning neural-network onnx scala scala3

Last synced: 27 Dec 2024

https://github.com/EmergentOrder/onnx-scala

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3

deep-learning deep-neural-networks dotty jvm machine-learning neural-network onnx scala scala3

Last synced: 18 Nov 2024

https://github.com/sweppner/labeld

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

annotations data-tagging deep-learning deep-neural-networks image-annotation image-classification

Last synced: 18 Nov 2024

https://sweppner.github.io/labeld/

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

annotations data-tagging deep-learning deep-neural-networks image-annotation image-classification

Last synced: 17 Nov 2024

https://github.com/hkust-vgd/pointwise

Code for Pointwise Convolutional Neural Networks, CVPR 2018

deep-learning deep-neural-networks point-cloud

Last synced: 28 Oct 2024

https://github.com/qdata/adversarialdnn-playground

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

adversarial-samples deep-neural-networks machine-learning neural-network python tensorflow visualization

Last synced: 12 Nov 2024

https://github.com/xilaili/AOGNet

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

aognet cifar10 cifar100 computer-vision deep-learning deep-neural-networks image-classification imagenet mxnet

Last synced: 08 Nov 2024

https://github.com/QData/AdversarialDNN-Playground

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

adversarial-samples deep-neural-networks machine-learning neural-network python tensorflow visualization

Last synced: 09 Nov 2024

https://github.com/mortenjust/trainer-mac

Trains a model, then generates a complete Xcode project that uses it - no code necessary

ai deep-learning deep-neural-networks image-recognition ios machine-learning swift tensorflow xcode

Last synced: 07 Nov 2024

https://github.com/ericmjl/bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

bayesian bayesian-deep-learning deep-learning deep-neural-networks deeplearning fundamental-concepts

Last synced: 14 Oct 2024

https://github.com/leverxgroup/esrgan

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

computer-vision deep-neural-networks generative-adversarial-network image-processing pytorch super-resolution

Last synced: 26 Oct 2024

https://github.com/billyblu2000/AccoMontage2

Chord and accompaniment generator, pure python package that generate chord progression and accompaniment according to given melodies. Code for paper AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System.

chord-progression computer-music deep-neural-networks dp midi python

Last synced: 22 Nov 2024

https://github.com/alex-lechner/traffic-light-classification

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

convolutional-neural-networks deep-learning deep-neural-networks tensorflow tensorflow-models tensorflow-tutorials traffic-light-classification traffic-light-detection traffic-lights

Last synced: 12 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 Research 197 Neural Networks (NN) and Deep Neural Networks (DNN) 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 5. Applications (General) 80