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BayesNewton
Bayes-NewtonβA Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.SDE
Example codes for the book Applied Stochastic Differential Equationskalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAXGP-MVS
Multi-View Stereo by Temporal Nonparametric Fusionvio_benchmark
Tools for benchmarking different Visual-Inertial Odometry solutionsgenerative-inverse-heat-dissipation
Code release for the paper Generative Modeling With Inverse Heat Dissipationspatio-temporal-GPs
Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'android-viotester
Visual-Inertial Odometry (VIO) benchmark app for AndroidIHGP
Infinite-horizon Gaussian processesboundary-gp
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Featuresmobile-cv-suite
A Computer Vision & real-time ML resarch library for mobile phones. The building blocks required to test new algorithms on mobile & embedded devices.SLAM-module
SLAM modulePeriodicBNN
Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)uncertainty-nerf-gs
Code release for the paper "Sources of Uncertainty in 3D Scene Reconstruction"hilbert-gp
Codes for Hilbert space reduced-rank GP regressionscalable-inference-in-sdes
Methods and experiments for assumed density SDE approximationsnonstationary-audio-gp
End-to-End Probabilistic Inference for Nonstationary Audio Analysissequential-gp
Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)stationary-activations
Codes for 'Stationary Activations for Uncertainty Calibration in Deep Learning' (NeurIPS 2020)t-SVGP
Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes' (NeurIPS 2021)sfr
PyTorch implementation of Sparse Function-space Representation of Neural Networksiterative-smoothing-bridge
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'zed-capture
Tool for capturing IMU sensor and video data through zed-open-capturecalibrated-dnn
Repository containing code for the paper: Fixing Overconfidence in Dynamic Neural Networksaccelerated-arrays
Lightweight accelerated tensor / array programming library for smart phone GPUsview-aware-inference
Gaussian Process Priors for View-Aware Inferenceapml
Advances in Probabilistic Machine Learning Seminarimproved-hyperparameter-learning
Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)sfr-experiments
Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"Love Open Source and this site? Check out how you can help us