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Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
Tools for diffing and merging of Jupyter notebooks.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Distance-based Analysis of DAta-manifolds in python
๐ Sphinx source parser for Jupyter notebooks
A clean customizable documentation theme for Sphinx
A robust Laplace matrix for general (possibly nonmanifold) triangle meshes, and point clouds [Sharp & Crane SGP 2020]
High-quality QR Code generator library in Java, TypeScript/JavaScript, Python, Rust, C , C.
A new approach to API documentation in Sphinx.
A Bayesian optimization toolbox built on TensorFlow
Code for the paper "Intrinsic Gaussian Vector Fields on Manifolds" by Robert-Nicoud, Krause, and Borovitskiy
pytest plugin for distributed testing and loop-on-failures testing modes.
Computations and statistics on manifolds with geometric structures.
Repository containing the code for Implicit Manifold Gaussian Process.
Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
Chrome/Firefox extension that blocks access to distracting websites to improve your productivity.
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
vsomnath / graph_space_gps
Forked from IBM/graph_space_gpsIsotropic Gaussian Processs on Finite Spaces of Graphs (AISTATS 2023)
Isotropic Gaussian Processs on Finite Spaces of Graphs (AISTATS 2023)
Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps
Fast Convergence of Conjugate Gradients in Sparse Gaussian Processes
A scikit-learn compatible library for graph kernels