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A curated list of fellowships for graduate students in Computer Science and related fields.
A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
Vega-Lite Chart Dataset and NL Generation Framework using LLMs
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Class-constrained t-SNE: Combining Data Features and Class Probabilities (IEEE VIS 2023)
🐉 Modular version of Draco visualization recommendation engine
VisText is a benchmark dataset for semantically rich chart captioning.
[VIS 2023] Projection Ensemble: Visualizing the Robust Structures of Multidimensional Projections
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Source code accompanying the submission to EuroVis 2017
pepy is a site to get statistics information about any Python package.
[ICLR-2023] Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
A list of free datasets that provide streaming data
A collection of code for Dimensionality Reduction for Documents with Nearest Neighbor Queries
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"
An incredibly fast JavaScript library for Delaunay triangulation of 2D points
A framework for benchmarking clustering algorithms
[VIS 2022] Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning
96 benchmark datasets for external clustering validation with class-label matching score
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance
Measurement framekwork for GPU power consumption.
Simple method to create notebook-ready visual analytics tools!
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)