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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/YichenLin/MATH-80600A-Project

Deep Learning based Recommender System: A Survey and New Perspectives

https://github.com/YinDFY/PGD_for_targeted_attack

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/YingjingLu/Music_Onset

Towards an efficient deep learning model for musical onset detection

https://github.com/YingtongDou/GCNN

Fake News Detection on Social Media using Geometric Deep Learning

https://github.com/Yohei-Kawakami/Bouquet

Xception: Deep Learning with Depthwise Separable Convolutions

https://github.com/Yuriowindiatmoko2401/chatbot-uii-2

Developing FB Chatbot Based on Deep Learning Using RASA Framework for University Enquiries

https://github.com/ZhijieXiong/dlkt

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

https://github.com/ZhijieXiong/pyedmine

Knowledge Tracing with Sequential Key-Value Memory Networks

https://github.com/ZhixinLai/3D-detection-with-monocular-RGB-image

3D Bounding Box Estimation Using Deep Learning and Geometry

https://github.com/Zoky-2020/Set-level_Guidance_Attack

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/a0x8o/horovod

Horovod: fast and easy distributed deep learning in TensorFlow

https://github.com/a2198699s/AI-Line-Follower

Closed-loop deep learning: generating forward models with back-propagation

https://github.com/aaron-jx-li/r3-protopnet

This Looks Like That: Deep Learning for Interpretable Image Recognition

https://github.com/aaronpeikert/methods-meetup

Understanding deep learning requires rethinking generalization

https://github.com/aayushmanace/patchalign24

FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning

https://github.com/abahram77/mnistChallenge

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/abahram77/mnist_challenge

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/abdelrahmansaud/vLSTM

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

https://github.com/abdoelsayed2016/tncr

Deep learning for table detection and structure recognition: A survey

https://github.com/abhilash1910/SpectralEmbeddings

SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

https://github.com/abhimangalms/PlantDoctor

Using Deep Learning for Image-Based Plant Disease Detection

https://github.com/abhineet123/animal_detection

River Ice Segmentation with Deep Learning

https://github.com/abmitra84/recommender_system

Wide & Deep Learning for Recommender Systems

https://github.com/achen04/passwordcracking

PassGAN: A Deep Learning Approach for Password Guessing

https://github.com/acr42/Neural-Variational-Knowledge-Graphs

TensorFlow Distributions

https://github.com/acrophase/sleep_staging_kd

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

https://github.com/activeloopai/Hub

Deep Lake: a Lakehouse for Deep Learning

https://github.com/aczajka/iris-recognition---pm-diseased-human-driven-bsif

Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation

https://github.com/adamd1985/Temporal_Convolution_Networks_for_Energy_Demand_Forecast

Deep Learning for Time Series Forecasting: The Electric Load Case

https://github.com/adelnabli/acid

Stochastic Gradient Push for Distributed Deep Learning

https://github.com/adityassrana/MCV-M3-MLCV

Image Classification with Classic and Deep Learning Techniques

https://github.com/adlnlp/3mhealth

A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning

https://github.com/adlnlp/mm_emog

A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning

https://github.com/adsieg/Multi_Text_Classification

Notes on Deep Learning for NLP

https://github.com/aecelaya/pocketnet

PocketNet: A Smaller Neural Network for Medical Image Analysis

https://github.com/agentic-learning-ai-lab/memory-storyboard

Self-supervised learning through the eyes of a child

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