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Prediction

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

https://github.com/romanhornung/bwm_article

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Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study

https://github.com/romanlutz/NFLPlayPrediction

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NFL Play Prediction

https://github.com/rose-stl-lab/copulacpts

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Copula Conformal Prediction for Multi-step Time Series Forecasting

https://github.com/rose-stl-lab/pecco

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Probabilistic Symmetry for Multi-Agent Dynamics

https://github.com/roth-andreas/distilling-influences

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Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks

https://github.com/rs-lsl/kvp-lsi

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Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space

https://github.com/rtm2130/SPOTree

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Decision Trees for Decision-Making under the Predict-then-Optimize Framework

https://github.com/rucaibox/lamoc

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Zero-shot Visual Question Answering with Language Model Feedback

https://github.com/rudigerbrecht/computing_ensemble_spread_using_gans

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Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks

https://github.com/ruijiang81/adjusting_reg_model

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Adjusting Regression Models for Conditional Uncertainty Calibration

https://github.com/ruizhuo-xu/skeleton2vec

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Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton Sequence

https://github.com/rutgerswiselab/ExplainableFold

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ExplainableFold: Understanding AlphaFold Prediction with Explainable AI

https://github.com/rutilel/tecs-a-dataset-and-benchmark-for-tense-consistency

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TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation

https://github.com/rvimlab/homography_imitation_learning

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Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning

https://github.com/rwightman/pytorch-image-models

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EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction

https://github.com/rwlinno/st-lora

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Low-rank Adaptation for Spatio-Temporal Forecasting

https://github.com/ryantibs/conformal

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Distribution-Free Predictive Inference For Regression

https://github.com/ryanwangzf/meditab

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MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement

https://github.com/rycolab/context-reading-time

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On the Role of Context in Reading Time Prediction

https://github.com/s-tian/vp2

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A Control-Centric Benchmark for Video Prediction

https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/mos_prediction

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Utilizing Self-supervised Representations for MOS Prediction

https://github.com/sa5r/kgrp

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Knowledge Graph Completion using Structural and Textual Embeddings

https://github.com/sadmanomee/ood_materials_benchmark

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Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study

https://github.com/saeedkhaki92/CNN-RNN-Yield-Prediction

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A CNN-RNN Framework for Crop Yield Prediction

https://github.com/saeedkhaki92/Yield-Prediction-DNN

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Crop Yield Prediction Using Deep Neural Networks

https://github.com/safeailab/eagle

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EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

https://github.com/sagawatatsuya/ReactionT5

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ReactionT5: a large-scale pre-trained model towards application of limited reaction data

https://github.com/saids-lab/stl-synthesis-among-uncontrollable-agents

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Signal Temporal Logic Control Synthesis among Uncontrollable Dynamic Agents with Conformal Prediction

https://github.com/sajjadmzf/trajpred

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Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks

https://github.com/sakifhossain/SFMGNet

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SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories

https://github.com/salesforce/online_conformal

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Improved Online Conformal Prediction via Strongly Adaptive Online Learning

https://github.com/salimamoukou/acpi

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Adaptive Conformal Prediction by Reweighting Nonconformity Score

https://github.com/salmon1802/cetn

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CETN: Contrast-enhanced Through Network for CTR Prediction

https://github.com/salmon1802/ektf

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Ensemble Learning via Knowledge Transfer for CTR Prediction

https://github.com/salmon1802/qin

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Quadratic Interest Network for Multimodal Click-Through Rate Prediction

https://github.com/samgoldman97/ms-pred

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Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks

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