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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/ctuning/ck-tvm

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

https://github.com/cvrl/opensourceirisrecognition

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

https://github.com/cwmok/Conditional_LapIRN

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

https://github.com/cwmok/Fast-Symmetric-Diffeomorphic-Image-Registration-with-Convolutional-Neural-Networks

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

https://github.com/cyrusgeyer/DiffPrivate_FedLearning

Deep Learning with Differential Privacy

https://github.com/czarmanu/sentinel_lakeice

Lake Ice Detection from Sentinel-1 SAR with Deep Learning

https://github.com/dacostaHugo/Adversarial_attacks

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/dais-ita/deepprobcep

DeepProbLog: Neural Probabilistic Logic Programming

https://github.com/daiweiworking/BenchmarkDeepLearning

Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

https://github.com/damien0x0023/rnnExplainer

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

https://github.com/damienlancry/DBAL

Deep Bayesian Active Learning with Image Data

https://github.com/damo-di-ml/neurips2022-film

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

https://github.com/danielpatrickhug/Research_Paper_Parser

LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis

https://github.com/danielsyahputra/HydraNet

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

https://github.com/danieltan07/learning-to-reweight-examples

Learning to Reweight Examples for Robust Deep Learning

https://github.com/dario-passos/deeplearning_for_vis-nir_spectra

Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics

https://github.com/darren622672/IQA

Deep Learning for Image Super-resolution: A Survey

https://github.com/dascimal-org/MDSeqVAE/blob/master/VulDeePeck.py

VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

https://github.com/datlife/deepcom

Communication Algorithms via Deep Learning

https://github.com/david-siqi-liu/yelp-sentiment-analysis

Sentiment Analysis of Yelp Reviews: A Comparison of Techniques and Models

https://github.com/davidath/evitrac

ANNETT-O: An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training

https://github.com/davidclark1/vectorizednets

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures

https://github.com/davideverona/deep-crowd-counting_crowdnet

CrowdNet: A Deep Convolutional Network for Dense Crowd Counting

https://github.com/davidruegamer/deepregression_tutorial

deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression

https://github.com/davidtangGT/MEGNET

Relational inductive biases, deep learning, and graph networks

https://github.com/davidzhou9/DeepVol

Solving high-dimensional partial differential equations using deep learning

https://github.com/davislf2/dl-grf

Deep learning for time series classification: a review

https://github.com/dayu11/Differentially-Private-Deep-Learning

Deep Learning with Differential Privacy

https://github.com/dbensoussan/rsna

Xception: Deep Learning with Depthwise Separable Convolutions

https://github.com/dcccc/LC_NET

Relational inductive biases, deep learning, and graph networks

https://github.com/dcccc/git_python

Relational inductive biases, deep learning, and graph networks

https://github.com/dccuchile/CC6204

Notes on Deep Learning for NLP

https://github.com/ddpalacios/Evolving-Architecture

Evolving Deep Neural Networks

https://github.com/deargen/MT-ENet

Improving evidential deep learning via multi-task learning

https://github.com/debayanmitra1993-data/Blindness-Detection-Diabetic-Retinopathy-

Deep Learning Approach to Diabetic Retinopathy Detection

https://github.com/decotoj/Deep-Learning-Space-Observation-Association

Deep Learning Enabled Uncorrelated Space Observation Association

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