Stars
Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions
Collection of custom elements that appear hand drawn. Great for wireframes or a fun look.
DSPy: The framework for programming—not prompting—foundation models
Voilà turns Jupyter notebooks into standalone web applications
A search box that filters the provided array of objects
Dataset introduced in PlotQA: Reasoning over Scientific Plots
VisText is a benchmark dataset for semantically rich chart captioning.
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
how do people agree on ways of communicating visual concepts?
Papers and such on 3D data compression and streaming
materials and data analysis for "active causal structure learning in continuous time" 🕙
List of papers studying machine learning through the lens of category theory
CogMod-Tutorial is a set of Python Jupyter Notebooks designed as an introduction to cognitive modelling in Human-Computer Interaction.
A bunch of stuff that can made on a laser cutter/engraver
Master programming by recreating your favorite technologies from scratch.
Investigating how humans identify statistical motion relations in dynamic scenes.
Short tutorials on the use of machine learning methods for causal inference