Papers with Code 아카이브

Prediction

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코드

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

https://github.com/ucl-pond/MedICSS-TADPOLE

TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease

https://github.com/ucla-vision/xivo

Geo-Supervised Visual Depth Prediction

https://github.com/umautobots/bidireaction-trajectory-prediction

BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation

https://github.com/uoe-agents/derl

Curiosity-driven Exploration by Self-supervised Prediction

https://github.com/ustunb/reachml

Prediction without Preclusion: Recourse Verification with Reachable Sets

https://github.com/utlive/FRIQUEE

Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach

https://github.com/uw-mad-dash/pgt_index

Spatial-Temporal Large Language Model for Traffic Prediction

https://github.com/v0lta/fourier-prediction

Sequence Prediction using Spectral RNNs

https://github.com/valeoai/VideoActionModel

GenAD: Generalized Predictive Model for Autonomous Driving

https://github.com/vchitect/seine

SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

https://github.com/vdean/audio-curiosity

Large-Scale Study of Curiosity-Driven Learning

https://github.com/venomouscyanide/S3GRL_OGB

Link Prediction Based on Graph Neural Networks

https://github.com/veritasyin/subg_acc

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

https://github.com/victor369basu/ProteinStructurePrediction

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

https://github.com/vincekellner/demandforecasting

Deep and Confident Prediction for Time Series at Uber

https://github.com/vincentschen/limited-label-scene-graphs

Scene Graph Prediction with Limited Labels

https://github.com/virtualgraham/sc_patch

Unsupervised Visual Representation Learning by Context Prediction

https://github.com/vishal-kataria/MiDaS-master

Vision Transformers for Dense Prediction

https://github.com/visionxlab/earth-adapter

RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark

https://github.com/vislearn/multi-matching-optimization

Structured Prediction Problem Archive

https://github.com/vita-epfl/rock-pytorch

Deeper Depth Prediction with Fully Convolutional Residual Networks

https://github.com/vita-epfl/s-attack

Are socially-aware trajectory prediction models really socially-aware?

https://github.com/vita-epfl/semdisc

Are socially-aware trajectory prediction models really socially-aware?

https://github.com/vladislavzh/cotic

Transformer Hawkes Process

https://github.com/vlievin/Unet

Multi-Scale Context Aggregation by Dilated Convolutions

https://github.com/vnoves/aectech2019-sketchto3d-backend

Hierarchical Surface Prediction for 3D Object Reconstruction

https://github.com/vsomnath/graphretro

Learning Graph Models for Retrosynthesis Prediction

https://github.com/wangweitong/DL

Product-based Neural Networks for User Response Prediction

https://github.com/wangweitong/recommend_system

Product-based Neural Networks for User Response Prediction

https://github.com/wangwenxi-handsome/joint-multipathpp

MPA: MultiPath++ Based Architecture for Motion Prediction

https://github.com/wangxiao5791509/DeepMTA_PyTorch

MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation

https://github.com/wangxiao5791509/cmSalGAN_PyTorch

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

https://github.com/wangzhongruo/news_cards_recommender

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

https://github.com/wayoo2019/DSC440-Data-Mining

US Fatal Police Shooting Analysis and Prediction

https://github.com/wenguanwang/deepattention

Deep Visual Attention Prediction

https://github.com/westny/dronalize

Diffusion-Based Environment-Aware Trajectory Prediction

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