https://github.com/CGCL-codes/naturalcc
공식 코드Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
Papers with Code 아카이브
Data Visualization
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Capricious-Liu/t-MoCo-v2
공식 코드Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
https://github.com/ICT-VGL/ICT-FaceKit
공식 코드https://github.com/MuyeHuang/VProChart
공식 코드https://github.com/Nkluge-correa/worldwide_AI-ethics
공식 코드Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
https://github.com/OpenTechBio/Olaf
공식 코드https://github.com/RUCAIBox/Slow_Thinking_with_LLMs
공식 코드Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
https://github.com/YingfanWang/PaCMAP
공식 코드https://github.com/alexandreday/fast_density_clustering
공식 코드A high-bias, low-variance introduction to Machine Learning for physicists
https://github.com/alfonsoiodicede/catdist_package
공식 코드A general framework for implementing distances for categorical variables
https://github.com/andreartelt/contrastingexplanationdimred
공식 코드"Why Here and Not There?" -- Diverse Contrasting Explanations of Dimensionality Reduction
https://github.com/appliedtopology/gcc
공식 코드https://github.com/ari-dasci/autoencoder-showcase
공식 코드A Showcase of the Use of Autoencoders in Feature Learning Applications
https://github.com/auranic/ClinTrajan
공식 코드https://github.com/bopan3/vis-shepherd
공식 코드VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation
https://github.com/cardio-ai/endovis-ml
공식 코드Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
https://github.com/collection-space-navigator/csn
공식 코드Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets
https://github.com/comptop/interleaving-dr
공식 코드Topology-Preserving Dimensionality Reduction via Interleaving Optimization
https://github.com/cqu-isse/Plot2API
공식 코드Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
https://github.com/crsl4/fast-stats
공식 코드WI Fast Stats: a collection of web apps for the visualization and analysis of WI Fast Plants data
https://github.com/decurtoydiaz/signatures
공식 코드Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
https://github.com/demoleiwang/llm4vis
공식 코드LLM4Vis: Explainable Visualization Recommendation using ChatGPT
https://github.com/doganlab/cbmap
공식 코드CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction
https://github.com/drckf/mlreview_notebooks
공식 코드A high-bias, low-variance introduction to Machine Learning for physicists
https://github.com/ecs-vlc/torchbearer
공식 코드https://github.com/fatemehpesaran310/text2chart31
공식 코드Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
https://github.com/geliang0114/nvagent
공식 코드nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow
https://github.com/gxli/adjacent-correlation-analysis
공식 코드https://github.com/hdi-umd/semantic_profiling_llm_evaluation
공식 코드https://github.com/hendersontrent/theft
공식 코드Feature-Based Time-Series Analysis in R using the theft Package
https://github.com/hkustdial/haichart
공식 코드https://github.com/illdepence/cross-lingual-citations-from-en
공식 코드Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
https://github.com/imyizhang/manifold-learn
공식 코드Supervised Stochastic Neighbor Embedding Using Contrastive Learning
https://github.com/isotlaboratory/UNAVOIDS-Code
공식 코드https://github.com/jMetal/jMetalPy
공식 코드jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics
https://github.com/jlparkI/benchmarking_xGPR
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.