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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/justanhduc/neuralnet-pytorch

A high level framework for general purpose neural networks in Pytorch.

convolutional-neural-networks deep-learning deep-neural-networks neuralnet-pytorch pytorch sympy theano

Last synced: 10 Dec 2024

https://github.com/fabprezja/keras-gpt-copilot

Integrate an LLM copilot within your Keras model development workflow

deep-learning deep-neural-networks gpt keras llms openai skynet

Last synced: 07 Nov 2024

https://github.com/SafeAILab/zkDL

zkDL, an open source toolkit for zero-knowledge proofs of deep learning powered by CUDA

cuda deep-neural-networks gpu-acceleration privacy-enhancing-technologies zero-knowledge-proof

Last synced: 12 Nov 2024

https://github.com/pengyanghua/dl2

a deep learning-driven scheduler for elastic training in deep learning clusters

cluster-scheduler deep-neural-networks

Last synced: 06 Dec 2024

https://github.com/ibm/max-text-summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 12 Nov 2024

https://github.com/IBM/MAX-Text-Summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 18 Nov 2024

https://github.com/annamalai-nr/subgraph2vec_tf

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

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

Last synced: 30 Oct 2024

https://github.com/warvito/normative-modelling-using-deep-autoencoders

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

autoencoder autoencoders deep-autoencoders deep-learning deep-neural-networks neuroimaging normative-modelling

Last synced: 09 Nov 2024

https://github.com/Zhenye-Na/gcn-spp

Shortest Path prediction using Graph Convolutional Networks

deep-neural-networks graph-convolutional-networks shortest-path

Last synced: 02 Nov 2024

https://github.com/tadpole/DRNE

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

centrality deep-neural-networks network-embedding network-representation-learning

Last synced: 11 Nov 2024

https://github.com/zhenye-na/gcn-spp

Shortest Path prediction using Graph Convolutional Networks

deep-neural-networks graph-convolutional-networks shortest-path

Last synced: 12 Nov 2024

https://github.com/yaricom/timeserieslearning

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

adagrad adam-optimizer adamax deep-learning deep-neural-networks leaky-relu pca-analysis random-forest-regressor recurrent-neural-networks rmsprop rnn time-series

Last synced: 05 Nov 2024

https://github.com/altanai/ramudroid

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

arduino computer-vision deep-learning deep-neural-networks deep-reinforcement-learning garbage-classification garbage-collection machinelearning motors opencv raspberry-pi robot streaming

Last synced: 02 Nov 2024

https://github.com/andreasmazur/geoconv

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.

benchmarking convolutional-neural-networks deep-learning deep-neural-networks geodesic-algorithm geometric-deep-learning geometry-processing keras machine-learning neural-network neural-networks tensorflow visualization

Last synced: 13 Oct 2024

https://github.com/trykatchup/password-similarity-nlp

Password Similarity Detection Using Deep Neural Networks. This project was the case study of my bachelor's thesis.

deep-neural-networks fasttext machine-learning nlp-machine-learning password password-similarity privacy privacy-protection word-embeddings

Last synced: 13 Oct 2024

https://github.com/kleinyuan/tensorflow-yolo-ios

Real time object detection demo App with Yolo on iOS based on tensorflow framework

darknet deep-learning deep-neural-networks deepbelief ios real-time swift tensorflow tiny-yolo yolo

Last synced: 25 Nov 2024

https://github.com/avhirupc/semantic-image-completion

Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond

computer-vision deep-learning deep-neural-networks image-inpainting machine-learning python tensorflow-experiments

Last synced: 10 Oct 2024

https://github.com/changwoolee/wgan-gp-tensorflow

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

deep-learning deep-neural-networks gan generative-adversarial-network python tensorflow wgan wgan-gp

Last synced: 09 Nov 2024

https://github.com/skblaz/san

Attention-based feature ranking for propositional data.

attention-mechanism deep-neural-networks feature-ranking machine-learning

Last synced: 17 Dec 2024

https://github.com/ma7555/nndpi

High performance deep packet inspection AI model using neural networks with an embedding layer, 1D Convolution layers and bidirectional gated recurrent unit.

deep-learning deep-neural-networks deep-packet-inspection keras-tensorflow network-security tensorflow tensorflow2

Last synced: 23 Oct 2024

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

(AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft". AAAI = AAAI Conference on Artificial Intelligence.

deep-learning deep-neural-networks deep-reinforcement-learning hierarchical-reinforcement-learning reinforcement-learning starcraft-ii starcraft2 starcraft2-agents starcraft2-ai

Last synced: 07 Nov 2024

https://github.com/liuruoze/HierNet-SC2

(AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft". AAAI = AAAI Conference on Artificial Intelligence.

deep-learning deep-neural-networks deep-reinforcement-learning hierarchical-reinforcement-learning reinforcement-learning starcraft-ii starcraft2 starcraft2-agents starcraft2-ai

Last synced: 11 Nov 2024

https://github.com/saradindusengupta/stock_price_forecasting_hybrid_model

Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)

deep-neural-networks indicators keras lstm-neural-networks sentiment-analysis stock-market tensorflow twiiter

Last synced: 12 Nov 2024

https://github.com/arianhosseini/question-answering

Exploration of various deep neural networks for Question Answering and Reading Comprehension

attention deep-neural-networks question-answering reading-comprehension seq2seq-model squad

Last synced: 26 Oct 2024

https://github.com/pierremtb/pod-uqnn

Uncertainty Quantification in the POD-NN framework

computational-fluid-dynamics deep-neural-networks principal-component-analysis

Last synced: 31 Oct 2024

https://github.com/proycon/deepfrog

An NLP-suite powered by deep learning

deep-learning deep-neural-networks dutch folia frog nlp transformers

Last synced: 08 Nov 2024

https://github.com/stanislavgrigoriev/easycntk

C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.

c-sharp cntk cognitive-toolkit deep-learning deep-learning-library deep-neural-networks machine-learning

Last synced: 16 Nov 2024

https://github.com/orestis-z/facial-beauty-predictor

Deep learning model to predict a beauty score for faces in images. Outperforms the state-of-the-art by up to 18% (2019).

computer-vision deep-learning deep-neural-networks facial-beauty-prediction scikit-learn tensorflow

Last synced: 28 Oct 2024

https://github.com/benja1972/tinyml_arduino

TinyML Deep learning project with arduino

arduino deep-neural-networks machine-learning python

Last synced: 18 Nov 2024

https://github.com/decisionfacts/semantic-ai

An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).

approximate-nearest-neighbor-search deep-neural-networks document-parser docx fastapi inference-api llama2 llm machine-learning ocr openai openai-api pdf rag retrieval-augmented-generation semantic-search vector-database

Last synced: 02 Dec 2024

https://github.com/rasbt/b3-basic-batchsize-benchmark

Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"

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

Last synced: 23 Oct 2024

https://github.com/vibhor98/neural-machine-translation-using-keras

This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras

deep-neural-networks encoder-decoder-model keras-models lstm natural-language-processing neural-machine-translation nmt-model

Last synced: 13 Nov 2024

https://github.com/RafayKhattak/YoutubeGPT

YoutubeGPT is a web application powered by OpenAI's Whisper model for speech recognition and GPT-3 for text summarization. It extracts transcriptions from YouTube videos and provides users with concise summaries based on the video content.

deep-neural-networks ffmpeg gpt-3 pytube whisper-ai

Last synced: 22 Nov 2024

https://github.com/rafaykhattak/youtubegpt

YoutubeGPT is a web application powered by OpenAI's Whisper model for speech recognition and GPT-3 for text summarization. It extracts transcriptions from YouTube videos and provides users with concise summaries based on the video content.

deep-neural-networks ffmpeg gpt-3 pytube whisper-ai

Last synced: 13 Nov 2024

https://github.com/aifred-health/vulcanai

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

data-analysis data-cleaning data-science data-visualization deep-learning deep-neural-networks feature-engineering mental-health python3 pytorch scikit-learn

Last synced: 05 Dec 2024

https://github.com/nekitmm/funnelact_pytorch

pytorch implementation of Funnel Activation (FReLU)

deep-learning deep-neural-networks frelu funnel-act funnel-activation pytorch resnet

Last synced: 23 Oct 2024

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

TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks (UQPINNs).

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

Last synced: 31 Oct 2024

https://github.com/wondervictor/traffic_prediction

Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)

deep-learning deep-neural-networks machine-learning predictive-analysis

Last synced: 16 Nov 2024

https://github.com/joyalshaji135/cnn-implementation

Automated detection of COVID-19 in real time can greatly help clinicians to handle increasing number of cases for preliminary screening. Deep CNN models trained with sufficiently large datasets may become best candidates to meet the purpose.

csv deep-learning deep-neural-networks jupyter-notebook keras neural-networks python3

Last synced: 28 Nov 2024

https://github.com/neurodata/df-dn-paper

Conceptual & empirical comparisons between decision forests & deep networks

classification decision-trees deep-learning deep-neural-networks machine-learning random-forests

Last synced: 10 Nov 2024

https://github.com/dlmacedo/robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks

Last synced: 05 Nov 2024

https://github.com/adendek/DeepLaetitia

Deep Reinforcement Learning that makes you smile

computer-vision deep-neural-networks mathematica reinforcement-learning

Last synced: 20 Nov 2024

https://github.com/sominw/vqamd_floyd

Visual Question Answering through modal dialogue + API

deep-learning deep-neural-networks floydhub machine-learning visual-question-answering

Last synced: 13 Nov 2024

https://github.com/yzhuoning/deepauc

Stochastic AUC Maximization with Deep Neural Networks

auc-roc-score deep-neural-networks optimization

Last synced: 09 Nov 2024

https://github.com/poke1024/bbz-segment

Code and data for the paper at http://arxiv.org/abs/2004.07317

deep-neural-networks historical-data image-segmentation

Last synced: 14 Oct 2024

https://github.com/ultralytics/wave

WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.

deep-neural-networks machine-learning physics-analysis scintillation sipm time-of-flight

Last synced: 10 Nov 2024

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/reachsumit/tensorflow-mobilenet-which-car-is-that

Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset

android-application deep-neural-networks imagenet-classifier imagenet-dataset java playstore-sample python-3 tensorflow tensorflow-android transfer-learning

Last synced: 16 Nov 2024

https://github.com/ahmdtaha/simsiam

Pytorch implementation of Exploring Simple Siamese Representation Learning

deep-learning deep-neural-networks python python3 pytorch pytorch-implementation self-supervised self-supervised-learning simsiam

Last synced: 06 Nov 2024

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

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

anns artificial-neural-networks audio-recognition biological-brains board-game-programs deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning hierarchical-learning natural-language-processing neural-network neural-networks social-network-filtering speech-recognition

Last synced: 06 Dec 2024

https://github.com/jmaces/keras-adf

Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks keras machine-learning probabilistic-models tensorflow

Last synced: 20 Oct 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 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 C/C++ Tools and Frameworks 80