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Data-free Knowledge Distillation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/polowitty/covdocker
공식 코드CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions
https://github.com/polyagent/from-bytes-to-borsch
공식 코드From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation
https://github.com/pragmaticslab/vote_and_rank
공식 코드Vote'n'Rank: Revision of Benchmarking with Social Choice Theory
https://github.com/pralab/imagenet-patch
공식 코드ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
https://github.com/pranav-chib/trajimpute
공식 코드Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
https://github.com/pranavmaneriker/graphconformal-code
공식 코드Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs
https://github.com/prannaykaul/lvc
공식 코드Label, Verify, Correct: A Simple Few Shot Object Detection Method
https://github.com/prantik-pdeb/best-les
공식 코드BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
https://github.com/prgumd/PRGFlow
공식 코드PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
https://github.com/princeton-nlp/intercode
공식 코드InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
https://github.com/princeton-vl/SpatialSense
공식 코드SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
https://github.com/princetonvisualai/imagecaptioning-bias
공식 코드Understanding and Evaluating Racial Biases in Image Captioning
https://github.com/princetonvisualai/intersectionality
공식 코드https://github.com/pris-cv/pascal-ea
공식 코드Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
https://github.com/profjsb/deepCR
공식 코드https://github.com/profyliu/bsnsing
공식 코드bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
https://github.com/programmablebio/pepmlm
공식 코드https://github.com/proroklab/popgym
공식 코드POPGym: Benchmarking Partially Observable Reinforcement Learning
https://github.com/proroklab/vectorizedmultiagentsimulator
공식 코드VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
https://github.com/pulkit-khandelwal/upenn-picsl-brain-ex-vivo
공식 코드https://github.com/pulse-ml/momfbo-algorithm
공식 코드Leveraging Trust for Joint Multi-Objective and Multi-Fidelity Optimization
https://github.com/puredefence/advbench4text
공식 코드Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
https://github.com/puzzle-ai/unpuzzle
공식 코드https://github.com/pxaris/fm-music-tagging
공식 코드Universal Music Representations? Evaluating Foundation Models on World Music Corpora
https://github.com/pxaris/lc-protonets
공식 코드Universal Music Representations? Evaluating Foundation Models on World Music Corpora
https://github.com/pxiangwu/forb
공식 코드FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
https://github.com/pygda-team/pygda
공식 코드Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
https://github.com/pygod-team/pygod
공식 코드BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
https://github.com/pyjulie/medical-vlms-ood-detection
공식 코드Delving into Out-of-Distribution Detection with Medical Vision-Language Models
https://github.com/pyjulie/monica
공식 코드MONICA: Benchmarking on Long-tailed Medical Image Classification
https://github.com/pykeen/benchmarking
공식 코드https://github.com/pykeen/pykeen
공식 코드A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
https://github.com/pykeen/ranking-metrics-manuscript
공식 코드A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
https://github.com/pyt-team/TopoBenchmarkX
공식 코드TopoBench: A Framework for Benchmarking Topological Deep Learning
https://github.com/pytorch/benchmark
공식 코드TorchBench: Benchmarking PyTorch with High API Surface Coverage
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