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코드

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

https://github.com/dummy2021/intro_to_ai

A Neural Algorithm of Artistic Style

https://github.com/dumyy/handpose

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

https://github.com/dungxibo123/neural_ode

Neural Ordinary Differential Equations

https://github.com/dvl-tum/motsynth-baselines

Mask R-CNN

https://github.com/dvlab-research/msad

Slimmable Neural Networks

https://github.com/dxyang/styletransfer

A Neural Algorithm of Artistic Style

https://github.com/e-mois/nstbot

A Neural Algorithm of Artistic Style

https://github.com/ebarsoum/hpgan

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/eclipse-t2i/lambda-eclipse-inference

$λ$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space

https://github.com/edavalosanaya/FastPoseCNN

PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation

https://github.com/edivadiranatnom/Machine-Learning-Project

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer

https://github.com/edresson/yourtts

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

https://github.com/ee17b031-iittp/Image2StyleGAN

Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

https://github.com/ee17b031-iittp/Neural-style-transfer

A Neural Algorithm of Artistic Style

https://github.com/efeatikkan/Human_Pose_Estimation

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/eho-tacc/DeepLabCut

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

https://github.com/eivan/multiview-LAFs-correction

Optimal Multi-view Correction of Local Affine Frames

https://github.com/ekagra-ranjan/AE-CNN

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

https://github.com/eldar/deepcut

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

https://github.com/eldar/deepcut-cnn

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

https://github.com/eldar/differentiable-point-clouds

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

https://github.com/eldar/pose-tensorflow

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

https://github.com/eliasboughosn/Spatial-Temporal-Graph-Convolutional-Networks

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/elonashatri/pitch_mask_rcnn

Mask R-CNN

https://github.com/elsa9421/cyclegan_readable

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/elsalmi/qiskit

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

https://github.com/endywon/texture-reformer

Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks

https://github.com/enriccorona/human-motion-prediction-pytorch

On human motion prediction using recurrent neural networks

https://github.com/erezposner/HandKeyPointDetector

Hand Keypoint Detection in Single Images using Multiview Bootstrapping

https://github.com/eric-erki/Visualising-Facial-Expression-Changes

Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data

https://github.com/eric-erki/pose-residual-network-pytorch

MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network

https://github.com/ericksiavichay/cs230-final-project

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/eridgd/WCT-TF

Fast Patch-based Style Transfer of Arbitrary Style

https://github.com/eriklindernoren/Keras-GAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/eriklindernoren/PyTorch-GAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/ermongroup/SDEdit

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

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