Papers with Code 아카이브

NLP based Person Retrival

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코드

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

https://github.com/medaitech/tcmn

공식 코드

One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks

https://github.com/mederrata/spmf

공식 코드

Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization

https://github.com/megvii-research/revcol

공식 코드

RevColV2: Exploring Disentangled Representations in Masked Image Modeling

https://github.com/melkor169/cp_drums_generation

공식 코드

Conditional Drums Generation using Compound Word Representations

https://github.com/melmaphother/timedart

공식 코드

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting

https://github.com/memray/OpenNMT-kpg-release

공식 코드

Deep Keyphrase Generation

https://github.com/mengab/MGANet

공식 코드

MGANet: A Robust Model for Quality Enhancement of Compressed Video

https://github.com/mengab/MGANet-DCC2020

공식 코드

MGANet: A Robust Model for Quality Enhancement of Compressed Video

https://github.com/mengmengliu1998/LAformer

공식 코드

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

https://github.com/mengmengliu1998/gatraj

공식 코드

GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model

https://github.com/mengqi-lei/condseg

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ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement

https://github.com/mengqi-lei/edge-prioritized-polyp-segmentation

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EPPS: Advanced Polyp Segmentation via Edge Information Injection and Selective Feature Decoupling

https://github.com/mengyangpu/edter

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EDTER: Edge Detection with Transformer

https://github.com/mengziyi64/ADMM-net

공식 코드

GAP-net for Snapshot Compressive Imaging

https://github.com/mfaruqui/morph-trans

공식 코드

Morphological Inflection Generation Using Character Sequence to Sequence Learning

https://github.com/mfbalin/Concrete-Autoencoders

공식 코드

Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

https://github.com/mhashas/Exploiting-Temporality-For-Semi-Supervised-Video-Segmentation

공식 코드

Exploiting Temporality for Semi-Supervised Video Segmentation

https://github.com/miamoto/conformer-ntm

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Memory-augmented conformer for improved end-to-end long-form ASR

https://github.com/mic-map/wmti-watson_dl

공식 코드

Parameter estimation for WMTI-Watson model of white matter using encoder-decoder recurrent neural network

https://github.com/mic-rud/guideddecoding

공식 코드

Lightweight Monocular Depth Estimation through Guided Decoding

https://github.com/miccaiif/Official-PyTorch-Implementation-of-TransMEF

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TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning

https://github.com/miccaiif/transmef

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TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning

https://github.com/michel-liu/grouppose

공식 코드

Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

https://github.com/michel-liu/grouppose-paddle

공식 코드

Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

https://github.com/microsoft/AdaM

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Adaptive Human Matting for Dynamic Videos

https://github.com/microsoft/CodeBERT

공식 코드

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

https://github.com/microsoft/CodeXGLUE

공식 코드

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

https://github.com/microsoft/DeBERTa

공식 코드

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization

https://github.com/microsoft/DeepSpeed

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DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale

https://github.com/microsoft/DualOctreeGNN

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Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations

https://github.com/microsoft/EA-VQ-VAE

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Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder

https://github.com/microsoft/GenerativeImage2Text

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GIT: A Generative Image-to-text Transformer for Vision and Language

https://github.com/microsoft/LMOps/tree/main/llma

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Inference with Reference: Lossless Acceleration of Large Language Models

https://github.com/microsoft/MASS

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MASS: Masked Sequence to Sequence Pre-training for Language Generation

https://github.com/microsoft/NeuralSpeech

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FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

https://github.com/microsoft/ProphetNet

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Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise

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