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/jlparki/xgpr

공식 코드

Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability

https://github.com/jtchen2k/salientime

공식 코드

SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization

https://github.com/jwcalder/AttractionRepulsionSwarming-tSNE

공식 코드

Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions

https://github.com/kasnerz/factgenie

공식 코드

factgenie: A Framework for Span-based Evaluation of Generated Texts

https://github.com/khuangaf/awesome-chart-understanding

공식 코드

From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models

https://github.com/levymsn/cqa-crct

공식 코드

Classification-Regression for Chart Comprehension

https://github.com/li-group/faultexplainer

공식 코드

FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis

https://github.com/lorafib/LumiPath

공식 코드

LumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices

https://github.com/luk4s-b/isumap

공식 코드

IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations

https://github.com/maevehutch/DesignQAR

공식 코드

Capturing Visualization Design Rationale

https://github.com/maflot/DicePlot

공식 코드

Diceplot: A package for high dimensional categorical data visualization

https://github.com/maflot/pyDicePlot

공식 코드

Diceplot: A package for high dimensional categorical data visualization

https://github.com/marcessz/Twenty-Years-of-Network-Science

공식 코드

Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis

https://github.com/marcessz/Two-Decades-of-Network-Science

공식 코드

Two Decades of Network Science as seen through the co-authorship network of network scientists

https://github.com/marcocantone/lycos-unicas-ids2018

공식 코드

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection

https://github.com/mdsamad001/g-ceals---deep-clustering-for-tabular-data

공식 코드

Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning

https://github.com/microsoft/VisEval

공식 코드

VisEval: A Benchmark for Data Visualization in the Era of Large Language Models

https://github.com/molnsona/blossom

공식 코드

Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM

https://github.com/mpsych/boostlet

공식 코드

Boostlet.js: Image processing plugins for the web via JavaScript injection

https://github.com/n8epi/filaments

공식 코드

Filament Plots for Data Visualization

https://github.com/notonion/chartthinker

공식 코드

ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization

https://github.com/omelikechi/ctef

공식 코드

Ellipsoid fitting with the Cayley transform

https://github.com/opengvlab/chartast

공식 코드

ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning

https://github.com/peabody124/posepipeline

공식 코드

PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research

https://github.com/pengyu965/chartdete

공식 코드

Context-Aware Chart Element Detection

https://github.com/predict-idlab/plotly-resampler

공식 코드

Plotly-Resampler: Effective Visual Analytics for Large Time Series

https://github.com/rduarte2047/Broader-Terms-Curriculum-Mapping

공식 코드

Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences

https://github.com/rongstat/meta-visualization

공식 코드

A Spectral Method for Assessing and Combining Multiple Data Visualizations

https://github.com/rozyangno/sce

공식 코드

Stochastic Cluster Embedding

https://github.com/rucaibox/olymmath

공식 코드

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models

https://github.com/s3-lab-iit/diffred

공식 코드

DiffRed: Dimensionality Reduction guided by stable rank

https://github.com/searecluse/cvprw2024

공식 코드

A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks

https://github.com/senyuanya/mmlc

공식 코드

Multi-task Meta Label Correction for Time Series Prediction

https://github.com/shallowlearner93/G-NeuroDAVIS

공식 코드

G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generation

https://github.com/shallowlearner93/neurodavis

공식 코드

NeuroDAVIS: A neural network model for data visualization

https://github.com/shamanDevel/AdaptiveSampling

공식 코드

Learning Adaptive Sampling and Reconstruction for Volume Visualization

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