Papers with Code 아카이브
Data-free Knowledge Distillation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/omron-sinicx/planning-datasets
OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
https://github.com/open-compass/vlmevalkit
https://github.com/open-dataflow/rare
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
https://github.com/openai/cleverhans
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
https://github.com/openai/rllab
Benchmarking Deep Reinforcement Learning for Continuous Control
https://github.com/openbiolink/promptsource
Multitask Prompted Training Enables Zero-Shot Task Generalization
https://github.com/openbmb/toolbench
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
https://github.com/opendenoising/opendenoising-benchmark
OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers
https://github.com/opendrivelab/uniad
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
https://github.com/openml-labs/gama
https://github.com/openml/openml-aslib
https://github.com/openvinotoolkit/deep-object-reid
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
https://github.com/orionbench/orionbench
ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
https://github.com/osilab-kaist/smac_exp
https://github.com/osilab-kaist/smac_plus
https://github.com/osu-nlp-group/hipporag
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
https://github.com/oxwhirl/facmac
https://github.com/oxwhirl/smacv2
https://github.com/p2irc/UDA4POC
https://github.com/pamela-project/slambench
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
https://github.com/patsp/coco
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
https://github.com/pbelcak/ultrafastbert
https://github.com/pearl-utexas/sope
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
https://github.com/pencilzhang/LFNet-light-field-saliency-net
Light Field Saliency Detection with Deep Convolutional Networks
https://github.com/peteanderson80/coco-caption
https://github.com/petteriTeikari/vesselNN
https://github.com/philipp238/parfam
Contemporary Symbolic Regression Methods and their Relative Performance
https://github.com/pohlinwei/AComPianist
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark
https://github.com/pokaxpoka/RAD_state_aug
https://github.com/pokaxpoka/rad_openaigym
https://github.com/prabhupad26/100daysofML
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pralab/secml
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
https://github.com/princeton-nlp/helmet
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
https://github.com/protagolabs/odyssey-math
https://github.com/pseulki/rococo
Learning Transferable Visual Models From Natural Language Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.