https://github.com/thua919/NeRF-SLAM-Benchmark-CVPR24
공식 코드Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM
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/thudm/alignbench
공식 코드AlignBench: Benchmarking Chinese Alignment of Large Language Models
https://github.com/thudm/grb
공식 코드Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
https://github.com/thudm/hgb
공식 코드https://github.com/thudm/paper-source-trace
공식 코드PST-Bench: Tracing and Benchmarking the Source of Publications
https://github.com/thumnlab/nas-bench-graph
공식 코드NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
https://github.com/thunlp-mt/cospace
공식 코드CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models
https://github.com/thunlp-mt/stabletoolbench
공식 코드StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
https://github.com/thunlp/tritonbench
공식 코드TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
https://github.com/thyrixyang/idtoolkit
공식 코드IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
https://github.com/tianyipeng-lab/digital-twin-simulation
공식 코드https://github.com/tianyucodings/cdiff
공식 코드Conditional diffusions for amortized neural posterior estimation
https://github.com/tiiiger/benchmark_llm_summarization
공식 코드https://github.com/tim-tadj/iot_datatrust_rwi
공식 코드https://github.com/timbervision/timbervision
공식 코드https://github.com/tinkoff-ai/CORL
공식 코드CORL: Research-oriented Deep Offline Reinforcement Learning Library
https://github.com/tiwarylab/latentthermoflows
공식 코드https://github.com/tkforgeron/ocppm
공식 코드HOEG: A New Approach for Object-Centric Predictive Process Monitoring
https://github.com/tmbdev/clstm
공식 코드https://github.com/tmehari/ssm_ecg
공식 코드https://github.com/tmtuan1307/nayer
공식 코드NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
https://github.com/tnresearch/forlorn
공식 코드https://github.com/tobideusser/kpi-edgar
공식 코드KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
https://github.com/tobischimanski/climretrieve
공식 코드ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
https://github.com/tofis/human4d_dataset
공식 코드HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
https://github.com/tqwei05/PlantSeg
공식 코드PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
https://github.com/tqzhong/cg4mctg
공식 코드Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
https://github.com/trais-lab/dattri
공식 코드https://github.com/transmuteai/data-efficient-transformers
공식 코드Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective
https://github.com/trevormcinroe/pixelbrax
공식 코드PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU
https://github.com/trianam/quantumNoiseClassification
공식 코드Machine learning classification of non-Markovian noise disturbing quantum dynamics
https://github.com/trougnouf/nind-denoise
공식 코드https://github.com/trustairlab/hatebench
공식 코드HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
https://github.com/trusthlt/legal-argument-reasoning-task
공식 코드https://github.com/tsafavi/codex
공식 코드https://github.com/tsattler/visuallocalizationbenchmark
공식 코드Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.