Generates the student-facing Stat406 website

Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.

Exercises for AI Applications in Infection Biology

Compositional Linear Algebra

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

A highly efficient implementation of Gaussian Processes in PyTorch

Gaussian processes in JAX and Flax.

GitHub Action to compile LaTeX documents

Reviews for the Journal of Open Source Software

Type hints support for the Sphinx autodoc extension

Accelerated pose estimation and tracking using semi-supervised learning

Laplace approximations for Deep Learning.

Implementation of the Gaussian Process Autoregressive Regression Model

Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch

A library for efficient similarity search and clustering of dense vectors.

A simple bash script for switching between installed versions of CUDA.

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

A LinearOperator implementation for PyTorch

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

Probabilistic Numerics in Python.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Geometric loss functions between point clouds, images and volumes

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

A community repository for benchmarking Bayesian methods

Bayesian optimization in PyTorch