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/dsshim0125/grmc

Deeper Depth Prediction with Fully Convolutional Residual Networks

https://github.com/dyelax/Adversarial_Video_Generation

Deep multi-scale video prediction beyond mean square error

https://github.com/dylan-slack/tablet

TABLET: Learning From Instructions For Tabular Data

https://github.com/ebarsoum/hpgan

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

https://github.com/edwinlebreton/Birds

Recurrent Neural Networks for Multivariate Time Series with Missing Values

https://github.com/eecrazy/TransBERT_ijcai2019

Story Ending Prediction by Transferable BERT

https://github.com/ekaksher/FedCTR

FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data

https://github.com/elbuco1/AttentionMechanismsTrajectoryPrediction

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

https://github.com/emanuel-metzenthin/lime-for-time

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

https://github.com/emorynlp/friendsqa

Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering

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

On human motion prediction using recurrent neural networks

https://github.com/ensta-u2is/torch-uncertainty

Training independent subnetworks for robust prediction

https://github.com/envision-research/lotus

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

https://github.com/epfl-ml4ed/ripple

Meta Transfer Learning for Early Success Prediction in MOOCs

https://github.com/era-dorta/tf_mvg

Structured Uncertainty Prediction Networks

https://github.com/eth-ait/spl

Structured Prediction Helps 3D Human Motion Modelling

https://github.com/fabio-sim/DeDoDe-ONNX-TensorRT

MegaDepth: Learning Single-View Depth Prediction from Internet Photos

https://github.com/facebookresearch/InferSent

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

https://github.com/facebookresearch/QuaterNet

On human motion prediction using recurrent neural networks

https://github.com/facebookresearch/SentEval

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

https://github.com/facebookresearch/flowmm

Crystal Structure Prediction by Joint Equivariant Diffusion

https://github.com/facebookresearch/improved_vrnn

Improved Conditional VRNNs for Video Prediction

https://github.com/facebookresearch/mbrl-lib

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning

https://github.com/facebookresearch/meshrcnn

Mesh R-CNN

https://github.com/facebookresearch/pytorch3d

Mesh R-CNN

https://github.com/fairlearn/fairlearn

Fair Regression: Quantitative Definitions and Reduction-based Algorithms

https://github.com/fangchangma/sparse-to-dense.pytorch

Deeper Depth Prediction with Fully Convolutional Residual Networks

https://github.com/fastiqa/fastiqa

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

https://github.com/feiyuhuahuo/PAA_minimal

Probabilistic Anchor Assignment with IoU Prediction for Object Detection

https://github.com/felix-lyx/prose

PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics

https://github.com/fenghetan9/hyspark

Slide-SAM: Medical SAM Meets Sliding Window

https://github.com/flagopen/flagscale

Emu3: Next-Token Prediction is All You Need

https://github.com/flawless1202/vgae_pyg

Variational Graph Auto-Encoders

https://github.com/fleverest/gravity_graph_autoencoders

Variational Graph Auto-Encoders

https://github.com/flytocc/CycleMLP-paddle

CycleMLP: A MLP-like Architecture for Dense Prediction

https://github.com/fromjade/dlmpnn

Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation

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