https://github.com/nabenabe0928/mfhpo-simulator
공식 코드Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
Papers with Code 아카이브
Data-free Knowledge Distillation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nabenabe0928/mfhpo-simulator-experiments
공식 코드Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
https://github.com/nabja/isimed
공식 코드https://github.com/nakulrampal/retchemqa
공식 코드Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo
https://github.com/namkoong-lab/qgym
공식 코드QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
https://github.com/nano-neuro-research-lab/machine-learning-cryptanalysis-of-a-quantum-random-number-generator
공식 코드Machine Learning Cryptanalysis of a Quantum Random Number Generator
https://github.com/nanpengyu/pmubage
공식 코드https://github.com/narabzad/llm-relevance-judgement-comparison
공식 코드https://github.com/nathanaelbosch/capos
공식 코드https://github.com/nathangavenski/il-datasets
공식 코드Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
https://github.com/naufalso/cityscape-adverse
공식 코드https://github.com/naver/bergen
공식 코드BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
https://github.com/naver/kapture-localization
공식 코드https://github.com/naver/splade
공식 코드Benchmarking Middle-Trained Language Models for Neural Search
https://github.com/ncbi-nlp/BLUE_Benchmark
공식 코드https://github.com/ncbi-nlp/BioSentVec
공식 코드BioSentVec: creating sentence embeddings for biomedical texts
https://github.com/ncbi-nlp/BioWordVec
공식 코드BioSentVec: creating sentence embeddings for biomedical texts
https://github.com/ncbi-nlp/NCBI_BERT
공식 코드https://github.com/ncbi-nlp/NegBio
공식 코드NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
https://github.com/ncbi-nlp/bioredirect
공식 코드Enhancing Biomedical Relation Extraction with Directionality
https://github.com/ncbi/speciesassignment
공식 코드Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
https://github.com/ncclabsustech/ifcis-55
공식 코드Immunofluorescence Capillary Imaging Segmentation: Cases Study
https://github.com/nec-research/agentquest
공식 코드AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
https://github.com/neclow/serab
공식 코드SERAB: A multi-lingual benchmark for speech emotion recognition
https://github.com/neergaard/deep-sleep-pytorch
공식 코드Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
https://github.com/neheller/kits19
공식 코드https://github.com/nengo/nengo-dl
공식 코드NengoDL: Combining deep learning and neuromorphic modelling methods
https://github.com/nerses28/bBSARD
공식 코드Bilingual BSARD: Extending Statutory Article Retrieval to Dutch
https://github.com/nesl/llm_sensor_processing
공식 코드SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing
https://github.com/nesl/stark_benchmark
공식 코드Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
https://github.com/networkgeometry/hyperbolic-benchmark-gnn
공식 코드Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance
https://github.com/neuir/m2rag
공식 코드Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
https://github.com/neulab/prompt2model
공식 코드Prompt2Model: Generating Deployable Models from Natural Language Instructions
https://github.com/neurobench/neurobench
공식 코드NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
https://github.com/neuroevobench/neuroevobench
공식 코드NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
https://github.com/neurosim/DNN_NeuroSim_V2.0
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.