https://github.com/bethgelab/stylize-datasets
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Papers with Code 아카이브
Benchmarking
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/bezirganyan/luma
공식 코드LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
https://github.com/bgonzalezbustamante/TextClass-Benchmark
공식 코드TextClass Benchmark: A Continuous Elo Rating of LLMs in Social Sciences
https://github.com/biasvariancelabs/aitlas
공식 코드AiTLAS: Artificial Intelligence Toolbox for Earth Observation
https://github.com/biblenlp/ebible-experiments
공식 코드The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages
https://github.com/bidalab/mobileb2c_behavepassdb
공식 코드IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
https://github.com/bids-xu-lab/biomedical-nlp-benchmarks
공식 코드https://github.com/bigcode-project/bigcodebench
공식 코드BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
https://github.com/bigcode-project/bigcodebench-annotation
공식 코드BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
https://github.com/bigml-cs-ucla/spuco
공식 코드https://github.com/bigscience-workshop/promptsource
공식 코드Multitask Prompted Training Enables Zero-Shot Task Generalization
https://github.com/bigscience-workshop/t-zero
공식 코드Multitask Prompted Training Enables Zero-Shot Task Generalization
https://github.com/bilaltalha/sip-17
공식 코드Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset
https://github.com/billpsomas/efficient-probing
공식 코드Attention, Please! Revisiting Attentive Probing for Masked Image Modeling
https://github.com/bimib-disco/og-space
공식 코드OG-SPACE: Optimized Stochastic Simulation of Spatial Models of Cancer Evolution
https://github.com/bimsbbioinfo/pocketvina
공식 코드https://github.com/bingqingcheng/linear-regression-benchmarks
공식 코드https://github.com/binwang28/evalrank-embedding-evaluation
공식 코드Just Rank: Rethinking Evaluation with Word and Sentence Similarities
https://github.com/bio-nlp/medqa-cs
공식 코드MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework
https://github.com/biochunan/asep-dataset
공식 코드AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
https://github.com/biocypher/biochatter-light
공식 코드A Platform for the Biomedical Application of Large Language Models
https://github.com/biocypher/chatgse
공식 코드A Platform for the Biomedical Application of Large Language Models
https://github.com/biomedia-mbzuai/fetalclip
공식 코드FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
https://github.com/biomedicalinformaticsgroup/gnn-suite
공식 코드GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics
https://github.com/biomedsciai/biomed-multi-omic
공식 코드BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models
https://github.com/biomedsciai/gene-benchmark
공식 코드Does your model understand genes? A benchmark of gene properties for biological and text models
https://github.com/bionlproc/twitter-covid-qa-extraction
공식 코드COVID-19 event extraction from Twitter via extractive question answering with continuous prompts
https://github.com/bit-ml/avh-align
공식 코드Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning
https://github.com/bliss-e-v/scam
공식 코드SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models
https://github.com/blutjens/climate-emulator
공식 코드The impact of internal variability on benchmarking deep learning climate emulators
https://github.com/bmucsanyi/bud
공식 코드Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
https://github.com/bmucsanyi/untangle
공식 코드Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
https://github.com/bnn-upc/graphlaxy
공식 코드Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation
https://github.com/bobxwu/antileak-bench
공식 코드https://github.com/boevalab/scssl-bench
공식 코드scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
https://github.com/boleima/topro
공식 코드ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.