https://github.com/MindSpore-scientific/code-13/tree/main/pytorch_convgru
ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Mithunjack/COVID-19-Xray-Image-Classification
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
https://github.com/MortenTabaka/Semantic-segmentation-of-LandCover.ai-dataset
https://github.com/NervanaSystems/ngraph-python
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning
https://github.com/NeurIps2239/ExtraMAE
https://github.com/OptimalPandemic/taurus
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
https://github.com/PyFE/PyFENG
https://github.com/R4h4/AIforSEA_Traffic_Management
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
https://github.com/ROCm/flash-attention
Efficient Memory Management for Large Language Model Serving with PagedAttention
https://github.com/RasaHQ/rasa
Rasa: Open Source Language Understanding and Dialogue Management
https://github.com/RituYadav92/Lightweighted-CNN-for-Document-Classification
https://github.com/SCXsunchenxi/ISMTS-Review
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
https://github.com/SergiBragos/DLAI-2021-project
https://github.com/SmartSystems-UniAndes/ML_for_Solar_PV_Systems
https://github.com/SonginCV/MAF_HDA
Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management
https://github.com/SparkZu/RadioLLM
https://github.com/SunChenxiSCX/ISMTS-Review
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
https://github.com/TestGenome/MSCS
https://github.com/TimKettenacker/puffin
An Ontology-Based Dialogue Management System for Banking and Finance Dialogue Systems
https://github.com/Tom-900/3D-Tensor-based-Deep-Learning-Models-for-Predicting-Option-Price
3D Tensor-based Deep Learning Models for Predicting Option Price
https://github.com/USArmyResearchLab/ARL-SCOUT
Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue
https://github.com/Udopia/gbdc
Collaborative Management of Benchmark Instances and their Attributes
https://github.com/VIDILabs/Streaming-ROSS-Project
A Visual Analytics Framework for Reviewing Streaming Performance Data
https://github.com/VV123/NLIDB_gradient
A Transfer-Learnable Natural Language Interface for Databases
https://github.com/VV123/SpatialNLI
A Transfer-Learnable Natural Language Interface for Databases
https://github.com/VeritasXu/FDD-EA
https://github.com/VisDrone/DroneVehicle
Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
https://github.com/Williamwenda/UWB_TDOA_dataset
https://github.com/YXu556/RoadExtraction
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and Segmentation
https://github.com/YuweiCao-UIC/KPGNN
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
https://github.com/ZhijieXiong/pyedmine
https://github.com/aaron-wheeler/SFIArtificialStockMarket.jl
The effects of incentives, social norms, and employees' values on work performance
https://github.com/abbey4799/cutegpt
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation
https://github.com/abnerlijin/Strategy
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
https://github.com/adamd1985/Temporal_Convolution_Networks_for_Energy_Demand_Forecast
Deep Learning for Time Series Forecasting: The Electric Load Case
https://github.com/adlik/vllm
Efficient Memory Management for Large Language Model Serving with PagedAttention
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.