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Deep Learning

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/shih29242890/NeuralNetworks

Hacking Neural Networks: A Short Introduction

https://github.com/shijiel2/cleverhans

The Limitations of Deep Learning in Adversarial Settings

https://github.com/shilewenuw/deep-learning-portfolio-optimization

Deep Learning for Portfolio Optimization

https://github.com/shiqiyu/libfacedetection.train

Detect Faces Efficiently: A Survey and Evaluations

https://github.com/shivam13juna/Sequence_Prediction_LSTM_CHAR

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

https://github.com/shivamishu/cmpe255

Biometrics Recognition Using Deep Learning: A Survey

https://github.com/shixinxing/nngpvae-official

GP-VAE: Deep Probabilistic Time Series Imputation

https://github.com/shoaibahmed/TSViz-Core

TSViz: Demystification of Deep Learning Models for Time-Series Analysis

https://github.com/shomerthesec/Research-Buildings-Energy-forecasting-using-Deep-Learning

Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data

https://github.com/shruti-jadon/Covid-19-Detection-Few-Shot-Learning

COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach

https://github.com/shrutimohanty/Hcodeep

Evolving Deep Neural Networks

https://github.com/sidify/areal_image_segmentation

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

https://github.com/sjliu68/Remote-Sensing-Image-Classification

Multitask Deep Learning with Spectral Knowledge for Hyperspectral Image Classification

https://github.com/skchen1993/2023_CEVR

Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction

https://github.com/skhadem/3D-BoundingBox

3D Bounding Box Estimation Using Deep Learning and Geometry

https://github.com/skywalk163/INFINITY

TorchMD: A deep learning framework for molecular simulations

https://github.com/skywolf829/CSE5559_Final_Project

A Comprehensive Survey of Deep Learning for Image Captioning

https://github.com/smallcorgi/3D-Deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry

https://github.com/smlbansal/deepreach

DeepReach: A Deep Learning Approach to High-Dimensional Reachability

https://github.com/smosanu/acomMNIST

A guide to convolution arithmetic for deep learning

https://github.com/smrfeld/ReducedLotkaVolterra

Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions

https://github.com/smrjan/robotic-vision

A Survey on Deep Learning Methods for Robot Vision

https://github.com/snntorch/Spiking-Neural-Networks-Tutorials

Training Spiking Neural Networks Using Lessons From Deep Learning

https://github.com/sobhan-moosavi/DCRNN

Characterizing Driving Styles with Deep Learning

https://github.com/sobhan-moosavi/characterizingdrivingstyleswithdeeplearning

Characterizing Driving Styles with Deep Learning

https://github.com/soheil/DeepKeyAttack

A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards

https://github.com/sony/nnabla

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives

https://github.com/soycoder/dlrm-fb

Deep Learning Recommendation Model for Personalization and Recommendation Systems

https://github.com/soyoung9306/3D_CNN

Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization

https://github.com/spaceml-org/expanding-sdo-capabilities

Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning

https://github.com/spcl/ucudnn

μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching

https://github.com/spiritdjy/MixPaper

Natural Language Processing Advancements By Deep Learning: A Survey

https://github.com/ssmele/CompTopoProg

Deep Learning with Topological Signatures

https://github.com/stanfordasl/hj_reachability

DeepReach: A Deep Learning Approach to High-Dimensional Reachability

https://github.com/stephengreen/lfi-gw

Complete parameter inference for GW150914 using deep learning

https://github.com/steve30572/myo_armband

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.