https://github.com/ntu-icg/fm-planner
공식 코드FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation
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/nubagcilab/cirrmri600plus
공식 코드Large Scale MRI Collection and Segmentation of Cirrhotic Liver
https://github.com/nubagcilab/pansegnet
공식 코드Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
https://github.com/numbbo/coco
공식 코드COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
https://github.com/nuprl/multipl-e
공식 코드MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation
https://github.com/nvlabs/bongard-hoi
공식 코드Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
https://github.com/nvlabs/nprach_synch
공식 코드https://github.com/nvlabs/radio
공식 코드AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One
https://github.com/nvlabs/verilog-eval
공식 코드VerilogEval: Evaluating Large Language Models for Verilog Code Generation
https://github.com/nyu-mlda/openabc
공식 코드OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis
https://github.com/nyuad-cai/medarabiq
공식 코드MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks
https://github.com/odabashi/LMs-in-News-Summarization
공식 코드Unraveling the Capabilities of Language Models in News Summarization
https://github.com/oetu/otis
공식 코드Towards Generalisable Time Series Understanding Across Domains
https://github.com/ofa-sys/air-bench
공식 코드AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension
https://github.com/offdynamicsrl/off-dynamics-rl
공식 코드https://github.com/oleksost/latent_cl
공식 코드Continual Learning with Foundation Models: An Empirical Study of Latent Replay
https://github.com/olivesgatech/pointprompt
공식 코드Benchmarking Human and Automated Prompting in the Segment Anything Model
https://github.com/omron-sinicx/action-constrained-rl-benchmark
공식 코드https://github.com/on-point-rnd/ebes
공식 코드https://github.com/oneal2000/judge
공식 코드JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System
https://github.com/onekq/webapp1k
공식 코드Insights from Benchmarking Frontier Language Models on Web App Code Generation
https://github.com/oodrobustbench/oodrobustbench
공식 코드https://github.com/open-catalyst-project/adsorbml
공식 코드https://github.com/open-compass/CIBench
공식 코드CIBench: Evaluating Your LLMs with a Code Interpreter Plugin
https://github.com/open-compass/lawbench
공식 코드LawBench: Benchmarking Legal Knowledge of Large Language Models
https://github.com/open-finance-lab/finlora
공식 코드FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
https://github.com/open-mmlab/mmdetection
공식 코드https://github.com/open-mmlab/mmdetection3d
공식 코드An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
https://github.com/open-social-world/egonormia
공식 코드https://github.com/openai/CLIP
공식 코드Learning Transferable Visual Models From Natural Language Supervision
https://github.com/openai/procgen
공식 코드Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
https://github.com/openbenchmark/BARS
공식 코드https://github.com/openbmb/eurus
공식 코드https://github.com/openbmb/rageval
공식 코드RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
https://github.com/opendatalab/OmniDocBench
공식 코드OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
https://github.com/opendatalab/charm
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.