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An open API service indexing awesome lists of open source software.

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/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: 10 Apr 2025

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

Uncertainty Quantification in the POD-NN framework

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

Last synced: 12 Apr 2025

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: 30 Apr 2025

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.

ai deep-learning deep-neural-networks deeplearning documentation jupyter-notebook jupyter-notebooks machine-learning machinelearning ml tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 12 May 2025

https://github.com/serengil/neural-networks-py

Core neural networks framework supporting to build multilayer perceptron

back-propagation deep-learning deep-neural-networks gradient-descent multilayer-perceptron neural-networks

Last synced: 04 Apr 2025

https://github.com/proycon/deepfrog

An NLP-suite powered by deep learning

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

Last synced: 23 Apr 2025

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: 05 May 2025

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: 14 Apr 2025

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: 12 Apr 2025

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: 25 Apr 2025

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: 30 Apr 2025

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: 06 May 2025

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: 13 Apr 2025

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/guaishou74851/dccm

(Nature Communications Engineering 2024) Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios [PyTorch]

compressed-sensing compressive-sampling compressive-sensing computer-vision deep-neural-networks deep-unfolding deep-unrolling image-reconstruction

Last synced: 20 Mar 2025

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: 10 Apr 2025

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/yzhuoning/deepauc

Stochastic AUC Maximization with Deep Neural Networks

auc-roc-score deep-neural-networks optimization

Last synced: 22 Apr 2025

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: 15 Apr 2025

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: 25 Apr 2025

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: 28 Apr 2025

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/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 Apr 2025

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: 02 May 2025

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: 03 May 2025

https://github.com/ata-turhan/optimized-cnn-ta

It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.

algorithmic-trading deep-neural-networks financial-engineering financial-machine-learning technical-analysis

Last synced: 13 Apr 2025

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: 22 Apr 2025

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: 06 May 2025

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: 15 Apr 2025

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: 12 Apr 2025

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: 05 May 2025

https://github.com/ayushexel/libnet

Deep Neural Network algorithms library for c++ from scratch

artificial-intelligence c c-plus-plus deep-learning deep-neural-networks machine-learning neural-networks

Last synced: 06 May 2025

https://github.com/zafarali/sentiment.datalogue

Sentiment analysis challenge for Datalogue recruiting

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

Last synced: 10 Apr 2025

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: 09 Apr 2025

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: 09 Apr 2025

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: 23 Apr 2025

https://github.com/icon-lab/mambaroll

Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)

autoregressive deep-learning deep-neural-networks image-reconstruction mamba medical-imaging next-scale-prediction python pytorch sequence-models state-space-models unrolled-reconstruction-algorithm

Last synced: 06 Apr 2025

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: 07 May 2025

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: 10 Apr 2025

https://github.com/tanmoyio/gradman

Baby deep learning library🐣

autograd deep-learning deep-neural-networks

Last synced: 07 May 2025

https://github.com/rafaykhattak/llamadoc

Taking advantage of LlamaIndex's in-context learning paradigm, LlamaDoc empowers users to input PDF documents and pose any questions related to the content. The tool leverages the LLama Index's reasoning capabilities to provide intelligent responses based on the contextual understanding of the LLM.

deep-neural-networks gpt3 in-context-learning llama-index llm

Last synced: 12 Jan 2025

https://github.com/anjanasenanayake/deepselectnet

DeepSelecNet is an enhanced deep learning model to perform read classification for selective sequencing.

deep-neural-networks oxford-nanopore targeted-sequencing

Last synced: 11 Jan 2025

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 Feb 2025

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: 29 Apr 2025

https://github.com/cserajdeep/1dcnn-iris-pytorch

1 Dimensional Convolutional Neural Network for Iris dataset classification

1d-cnn classification cnn-classification deep-neural-networks iris-dataset python pytorch

Last synced: 14 Apr 2025

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/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: 19 Apr 2025

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: 16 Mar 2025

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: 18 Mar 2025

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: 12 Apr 2025

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: 09 Feb 2025

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: 15 Apr 2025

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: 10 Apr 2025

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: 13 Apr 2025

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

Some PyTorch code for the Kaggle Speech Recognition Challenge

deep-neural-networks kaggle pytorch speech-recognition

Last synced: 07 May 2025

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: 14 Apr 2025

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: 22 Apr 2025

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: 13 Apr 2025

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: 07 Apr 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 278 awesome-deep-trading 94 awesome-colab-notebooks 567 awesome-transformers-in-medical-imaging 202 Awesome-Speech-Enhancement 105 awesome-emdl 147 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 awesome-tensorial-neural-networks 99 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-yolo 40 awesome-graph-research-iclr2024 34 awesome-ai-brain-computer-interface 111 LiDAR-Guide 176 awesome-speech-emotion-recognition 119 CoreML-Guide 333 awesome-deepnote 41 awesome-ai-cybersecurity 153 Awesome-Computational-Structural-Biology 40 awesome-neural-cad 103 Awesome-Cloud-Edge-AI 58 PyTorch-Guide 616 awesome-experimental-standards-deep-learning 34 awesome-approximate-dnn 78 Deep-Learning 38 awesome-deep-learning-materials 69 TensorFlow-Guide 819 awesome-data-science 93 awesome-optimizers 53 fucking-machine-learning-tutorials 356 awesome-ai 107
Deep neural networks Categories
Papers 942 Uncategorized 596 Classification COVID19 (Separate section due to its current significance) 588 Papers & Code 439 Introduction 418 Overview 376 DL4M summary 358 Tutorials 235 Neural Networks (NN) and Deep Neural Networks (DNN) 203 Research 202 Other useful related lists and resources 200 Architecture 129 Deep Learning 113 Paper: 104 C/C++ Learning Resources 102 Using AI for Pentesting 95 Tools for Robotics 94 Further Reading 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86