[NeurIPS 2023] Code for "Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives"
A library for composing end-to-end tunable machine learning pipelines.
[NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives
Primitives for machine learning and data science.
Zero Noise Extrapolation (ZNE) prototype for error mitigation on the Qiskit Estimator primitive
Official implementation of the paper "3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces" (ICCV 2021)
Python Library for Dynamic Movement Primitives with Reinforcement Learning
Flexible, extensible Python data structures for general usage
Backend based primitives defining a staged computational pipeline.
Primitives and Pipelines for Time Series Data
Translations for Geometrize, an app for turning images into geometric primitives
Templates for Geometrize, recreating images using geometric primitives
Explore 2D and 3D Shapes! This interactive application allows you to visualize and learn about various geometric shapes. Still in progress...
Ray Tracer in Python based on Jamis Buck's Ray Tracing Challenge.
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