Papers with Code 아카이브

Deep Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/CodeShareBot/BodyAttentionNetwork

Chronic-Pain Protective Behavior Detection with Deep Learning

https://github.com/ConnorChristie/image-to-3d-bbox

3D Bounding Box Estimation Using Deep Learning and Geometry

https://github.com/CrustaceanJ/mmp-checklist

Hyper-Parameter Optimization: A Review of Algorithms and Applications

https://github.com/CubiCasa/CubiCasa5k

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

https://github.com/D-a-r-e-k/Source-Code-Modelling

A deep language model for software code

https://github.com/DIAL-RPI/CVD-Risk-Estimator

Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography

https://github.com/DIDSR/DeepLearningCamelyon_II

Deep Learning for Identifying Metastatic Breast Cancer

https://github.com/DL3DV-10K/Dataset

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

https://github.com/DTUComputeStatisticsAndDataAnalysis/Weight-Share

Deep learning for Chemometric and non-translational data

https://github.com/DarLiner/graph_nets

Relational inductive biases, deep learning, and graph networks

https://github.com/DarshanDeshpande/jax-models

Xception: Deep Learning with Depthwise Separable Convolutions

https://github.com/DataforGoodIsrael/DetectHateSpeech

Deep Learning Models for Multilingual Hate Speech Detection

https://github.com/DavorPenzar/diplomski

Deep learning and the Schrödinger equation

https://github.com/DecodEPFL/HamiltonianNet

Stable Architectures for Deep Neural Networks

https://github.com/Deeksha-5/STAN_Pytorch_Implementation

Stan: Small tumor-aware network for breast ultrasound image segmentation

https://github.com/DeepLearningKit/DeepLearningKit

DeepLearningKit - an GPU Optimized Deep Learning Framework for Apple's iOS, OS X and tvOS developed in Metal and Swift

https://github.com/DeepaliVerma/https-github.com-deepmind-graph_nets

Relational inductive biases, deep learning, and graph networks

https://github.com/Delta-ML/delta

DELTA: A DEep learning based Language Technology plAtform

https://github.com/DengPingFan/Inf-Net

Video Polyp Segmentation: A Deep Learning Perspective

https://github.com/DerwenAI/pytextrank

Energy and Policy Considerations for Deep Learning in NLP

https://github.com/DongyoungLim/THEO_POULA

Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks

https://github.com/Ducvoccer/mildnet

Retrieving Similar E-Commerce Images Using Deep Learning

https://github.com/EBjerrum/Deep-Chemometrics

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

https://github.com/EDAPINENUT/CLCRN

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

https://github.com/ENSTA-U2IS-AI/torch-uncertainty

Evidential Deep Learning to Quantify Classification Uncertainty

https://github.com/EPFL-VILAB/XDEnsembles

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/Eamin-sust/tensor2tensor

Tensor2Tensor for Neural Machine Translation

https://github.com/EbTech/AutoODE-DSL

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems

https://github.com/EbnulMahmood/PatternLab

Deep Learning for Patient-Specific Kidney Graft Survival Analysis

https://github.com/Eeun-ju/NLP-study

A Survey on Deep Learning for Named Entity Recognition

https://github.com/Emma926/mcbench

Exploiting Parallelism Opportunities with Deep Learning Frameworks

https://github.com/Erra-Ernesto/master

Tensor2Tensor for Neural Machine Translation

https://github.com/Fabienne703/Data

NiftyNet: a deep-learning platform for medical imaging

https://github.com/FaceOnLive/Face-Recognition-SDK-Android

Deep Polynomial Neural Networks

https://github.com/Faceplugin-ltd/FaceLivenessDetection-Android

Deep Learning meets Liveness Detection: Recent Advancements and Challenges

https://github.com/Faceplugin-ltd/FaceRecognition-Android

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

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