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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tanlab/ConvolutionMedicalNer
공식 코드https://github.com/tanmdl/watt-effnet
공식 코드WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images
https://github.com/tauricresearch/tradingagents
공식 코드https://github.com/team16project/street-light-dataset
공식 코드https://github.com/tekdogan/iccbdc-21
공식 코드Benchmarking Apache Spark and Hadoop MapReduce on Big Data Classification
https://github.com/tencent/cogkernel
공식 코드Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
https://github.com/tensorflow/tensorflow
공식 코드https://github.com/teodorchiaburu/riwwer_timeseries
공식 코드Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows
https://github.com/terraref/computing-pipeline
공식 코드https://github.com/th-nuernberg/crisis-tapt-hmc
공식 코드https://github.com/tharaka-perera/flex-net
공식 코드Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks
https://github.com/thokozile123/machine-learning-text-binary
공식 코드https://github.com/thuiar/M-SENA
공식 코드M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
https://github.com/thuiar/MMSA
공식 코드M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
https://github.com/thuiar/mmsa-fet
공식 코드M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
https://github.com/thuiar/textoir
공식 코드TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
https://github.com/thuiar/textoir-demo
공식 코드TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
https://github.com/thumlp/samoe
공식 코드Table-based Fact Verification with Self-adaptive Mixture of Experts
https://github.com/thunlp/unimem
공식 코드UniMem: Towards a Unified View of Long-Context Large Language Models
https://github.com/thxsxth/POMDP_RLSepsis
공식 코드https://github.com/tiannuo-yang/vdtuner
공식 코드VDTuner: Automated Performance Tuning for Vector Data Management Systems
https://github.com/tilabberkeley/nanoframe
공식 코드NanoFrame: A web-based DNA wireframe design tool for 3D structures
https://github.com/tilly111/chronopilot_feature_extraction
공식 코드https://github.com/tjvandal/discrete-continuous-bdl
공식 코드Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
https://github.com/tmvllrrl/its-study
공식 코드Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning
https://github.com/tomiinek/aargh
공식 코드AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog
https://github.com/tongji-kgllm/industryscope
공식 코드Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT
https://github.com/tongnie/tensor4kriging
공식 코드https://github.com/traffic-alpha/llm-assisted-light
공식 코드https://github.com/treeai-lab/awesome-kv-cache-management
공식 코드A Survey on Large Language Model Acceleration based on KV Cache Management
https://github.com/truthless11/HyKnow
공식 코드HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management
https://github.com/tsinghua-fib-lab/Traffic-Benchmark
공식 코드Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
https://github.com/tsinghua-fib-lab/unist
공식 코드UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
https://github.com/tsinghuadatabasegroup/db-gpt
공식 코드https://github.com/tsingqguo/bgmix
공식 코드Background-Mixed Augmentation for Weakly Supervised Change Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.