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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/ihmegroup/lossy_ml

공식 코드

The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning

https://github.com/iikka-v/ML-NDT

공식 코드

Physics and Deep Learning in Computational Wave Imaging

https://github.com/iit-pavis/ganzzle

공식 코드

GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image

https://github.com/ijcaiworkshop2020/freqnet

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FrequentNet: A Novel Interpretable Deep Learning Model for Image Classification

https://github.com/image-processing-particle-flow/project1

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Lightweight Deep Learning Framework for Accurate Particle Flow Energy Reconstruction

https://github.com/imatge-upc/liverseg-2017-nipsws

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Detection-aided liver lesion segmentation using deep learning

https://github.com/imjoy-team/example-plugins

공식 코드

ImJoy: an open-source computational platform for the deep learning era

https://github.com/importzl/semantic_segmentation

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Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes

https://github.com/imrclab/flying_adversarial_patch

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Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches

https://github.com/imsb-uke/dcsurv

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Deep Learning-Based Discrete Calibrated Survival Prediction

https://github.com/imsy-dkfz/htc

공식 코드

Robust deep learning-based semantic organ segmentation in hyperspectral images

https://github.com/infolab-skku/singleclassadv

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Single-Class Target-Specific Attack against Interpretable Deep Learning Systems

https://github.com/information-fusion-lab-umass/multiwave

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MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction

https://github.com/integritynoble/ELP-Unfolding

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Ensemble learning priors unfolding for scalable Snapshot Compressive Sensing

https://github.com/intel/caffe

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Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

https://github.com/intra3d2019/IntrA

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IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

https://github.com/introdeeplearning/book

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Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

https://github.com/ionur/cmb

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High-Resolution CMB Lensing Reconstruction with Deep Learning

https://github.com/ipnl-polyu/pyrtklib

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pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons

https://github.com/irashavitt/regularization_learning_networks

공식 코드

Regularization Learning Networks: Deep Learning for Tabular Datasets

https://github.com/ist-daslab/torch_cgx

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CGX: Adaptive System Support for Communication-Efficient Deep Learning

https://github.com/itsasimiqbal/SeBRe

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Developing Brain Atlas through Deep Learning

https://github.com/itsshuvra/A-Deep-Learning-Framework-to-Reconstruct-Face-under-Mask

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A Deep Learning Framework to Reconstruct Face under Mask

https://github.com/ivadomed/ivadomed

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ivadomed: A Medical Imaging Deep Learning Toolbox

https://github.com/ivy-dl/ivy

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Ivy: Templated Deep Learning for Inter-Framework Portability

https://github.com/iyerkrithika21/mesh2ssm_2023

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Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy

https://github.com/izmailovpavel/understandingbdl

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Bayesian Deep Learning and a Probabilistic Perspective of Generalization

https://github.com/j-duan/VS-Net

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VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

https://github.com/j05t/lesion-analysis

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Analysis of skin lesion images with deep learning

https://github.com/jackatcl/dl_for_dementia

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Automatic Detection of Alzheimer's Disease with Multi-Modal Fusion of Clinical MRI Scans

https://github.com/jakob-schloer/hybridlim

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A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime

https://github.com/jamesdolezal/slideflow

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Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization

https://github.com/jamesdolezal/synthetic-histology

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Deep Learning Generates Synthetic Cancer Histology for Explainability and Education

https://github.com/jannctu/FINED

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FINED: Fast Inference Network for Edge Detection

https://github.com/jarek-pawlowski/microbial-dataset-generation

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Generation of microbial colonies dataset with deep learning style transfer

https://github.com/jaromhogue/kdlayers

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Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures

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