Stars
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
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
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 convolutional networks.
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
Fast and Easy Infinite Neural Networks in Python
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 ML 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