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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/ml4bio/rna-fm

gRNAde: Geometric Deep Learning for 3D RNA inverse design

https://github.com/mlc-ai/web-llm

TensorIR: An Abstraction for Automatic Tensorized Program Optimization

https://github.com/mlcommons/submissions_algorithms

Scalable Second Order Optimization for Deep Learning

https://github.com/mminamina/Transfer_Learning_NaimishNet---Keypoints_Detection

A guide to convolution arithmetic for deep learning

https://github.com/mminamina/Udacity_ComputerVision_PeerReviewed_Project---Facial_Keypoints_Detection

A guide to convolution arithmetic for deep learning

https://github.com/mmr12/MGP-AttTCN

Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping

https://github.com/mohaEs/VFPrediction/tree/main/Competitor1

Forecasting Future Humphrey Visual Fields Using Deep Learning

https://github.com/mostafaelaraby/generalization-gap-features-tensorflow

Towards Task and Architecture-Independent Generalization Gap Predictors

https://github.com/mostafajahanifar/SNA_MICCAI21

Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification

https://github.com/motynel75/Deep-Learning-Fingerprinting-Attack

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

https://github.com/mrdbourke/tensorflow-deep-learning

A guide to convolution arithmetic for deep learning

https://github.com/mrezende/concra

When Deep Learning Met Code Search

https://github.com/mroberto166/MultilevelMachineLearning

Deep learning observables in computational fluid dynamics

https://github.com/mroberto166/PinnsSub

Deep learning observables in computational fluid dynamics

https://github.com/mrvoh/meta_learning_multilingual_doc_classification

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

https://github.com/ms96590/-

Evidential Deep Learning to Quantify Classification Uncertainty

https://github.com/ms96590/pytorch-classification-uncertainty

Evidential Deep Learning to Quantify Classification Uncertainty

https://github.com/msfasha/Arabic-Deep-Learning-OCR

A Hybrid Deep Learning Model for Arabic Text Recognition

https://github.com/msfasha/TextIimagesToolkit

A Hybrid Deep Learning Model for Arabic Text Recognition

https://github.com/msuzen/bristol

Spectral Ergodicity in Deep Learning Architectures via Surrogate Random Matrices

https://github.com/muellerflorian/parker-rna-loc-elegans

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

https://github.com/muellerflorian/walesky-rna-loc-liver

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

https://github.com/mukehvier/tensorflow-prob

TensorFlow Distributions

https://github.com/mukira/PySyft

A generic framework for privacy preserving deep learning

https://github.com/mv-lab/kuzushiji-recognition

Deep Learning for Classical Japanese Literature

https://github.com/mylonasc/tf-gnns

Relational inductive biases, deep learning, and graph networks

https://github.com/myungkeun-cho/taobao_dlrm

Deep Learning Recommendation Model for Personalization and Recommendation Systems

https://github.com/nacer-eb/krotovhopfieldwaddington

Dense Associative Memory for Pattern Recognition

https://github.com/nafiuny/Optimized_TumorClassifierResNetSD

Deep Learning-based Type Identification of Volumetric MRI Sequences

https://github.com/nahmiasd/DeepSign

DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification

https://github.com/namtpham/image_tampering_detection_references

Detection and Localization of Image Forgeries using Resampling Features and Deep Learning

https://github.com/naotokui/CreativeGAN-Rhythm

Can GAN originate new electronic dance music genres? -- Generating novel rhythm patterns using GAN with Genre Ambiguity Loss

https://github.com/naotokui/RhythmVAE_M4L

Towards democratizing music production with AI-Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin

https://github.com/napulen/MiniBach

Deep Learning Techniques for Music Generation -- A Survey

https://github.com/nar-k/NeurIPS-2018

Step Size Matters in Deep Learning

https://github.com/nasiryahm/STDWI

Deep Learning without Weight Transport

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