https://github.com/seungyeon-seo/DiagESC
공식 코드DiagESC: Dialogue Synthesis for Integrating Depression Diagnosis into Emotional Support Conversation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sferes2/modular_QD
공식 코드Quality and Diversity Optimization: A Unifying Modular Framework
https://github.com/sfeuerriegel/patientsubgrouping
공식 코드Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain
https://github.com/shahink84/BinPackingPredictions
공식 코드https://github.com/sharpershape/eclair-dataset
공식 코드ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation
https://github.com/shendu-sw/recon-data-generator
공식 코드https://github.com/shendu-sw/tfr-hss-benchmark
공식 코드https://github.com/shengchao-y/maaac-driving
공식 코드Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving
https://github.com/shennong-program/mlmd
공식 코드https://github.com/shennong-program/pycgs
공식 코드https://github.com/shennong-program/shennongname
공식 코드https://github.com/sherlock1987/SeqReward
공식 코드https://github.com/shidongyuan/kalman_filter_for_anc
공식 코드https://github.com/shnupta/computational-finance-cuda
공식 코드Quasi-Monte Carlo methods for calculating derivatives sensitivities on the GPU
https://github.com/shtoshni92/long-doc-coref
공식 코드Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
https://github.com/shuzeliu/behavior-policy-design-for-policy-evaluation
공식 코드Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
https://github.com/sia-ide/bearllm
공식 코드https://github.com/siat-invs/carlaflcav
공식 코드Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
https://github.com/siemens/industrialbenchmark
공식 코드https://github.com/sign-language-processing/pose
공식 코드pose-format: Library for Viewing, Augmenting, and Handling .pose Files
https://github.com/signaturescience/pracpac
공식 코드https://github.com/silin159/seknow
공식 코드End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management
https://github.com/simbianai/taskgen
공식 코드TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON
https://github.com/simon-hirsch/rolch
공식 코드https://github.com/sinannasir/Spectrum-Power-Allocation
공식 코드Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks
https://github.com/sinatayebati/vlm-uncertainty
공식 코드https://github.com/sisinflab/datarec
공식 코드DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems
https://github.com/sisl/AutomotivePOMDPs.jl
공식 코드Decomposition Methods with Deep Corrections for Reinforcement Learning
https://github.com/sisl/POMDPStressTesting.jl
공식 코드Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems
https://github.com/sisl/terminal_airspace_modeling
공식 코드Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures
https://github.com/sisl/ventilators
공식 코드Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics
https://github.com/sjmeis/craml_beta
공식 코드Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)
https://github.com/skfolio/skfolio
공식 코드https://github.com/skokec/detectron-traffic-signs
공식 코드Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
https://github.com/sky-fish23/embedding-based-infer
공식 코드An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies
https://github.com/smcch/Postoperative-Glioblastoma-Segmentation
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.