@AaltoML
Guthub

AaltoML

Twitter logo Share LinkedIn logo Share Facebook logo Share

Top repositories

1

BayesNewton

Bayes-Newtonโ€”A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
Python
211
star
2

SDE

Example codes for the book Applied Stochastic Differential Equations
MATLAB
153
star
3

kalman-jax

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
Jupyter Notebook
91
star
4

vio_benchmark

Tools for benchmarking different Visual-Inertial Odometry solutions
Python
57
star
5

GP-MVS

Multi-View Stereo by Temporal Nonparametric Fusion
Python
56
star
6

generative-inverse-heat-dissipation

Code release for the paper Generative Modeling With Inverse Heat Dissipation
Python
45
star
7

android-viotester

Visual-Inertial Odometry (VIO) benchmark app for Android
Java
44
star
8

spatio-temporal-GPs

Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
Python
42
star
9

IHGP

Infinite-horizon Gaussian processes
MATLAB
31
star
10

boundary-gp

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Jupyter Notebook
22
star
11

SLAM-module

SLAM module
C++
19
star
12

mobile-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.
Shell
19
star
13

PeriodicBNN

Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
Jupyter Notebook
16
star
14

scalable-inference-in-sdes

Methods and experiments for assumed density SDE approximations
Jupyter Notebook
11
star
15

nonstationary-audio-gp

End-to-End Probabilistic Inference for Nonstationary Audio Analysis
MATLAB
11
star
16

hilbert-gp

Codes for Hilbert space reduced-rank GP regression
MATLAB
10
star
17

stationary-activations

Codes for 'Stationary Activations for Uncertainty Calibration in Deep Learning' (NeurIPS 2020)
Jupyter Notebook
9
star
18

t-SVGP

Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes' (NeurIPS 2021)
Python
7
star
19

sequential-gp

Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)
Jupyter Notebook
7
star
20

sfr

PyTorch implementation of Sparse Function-space Representation of Neural Networks
Jupyter Notebook
4
star
21

zed-capture

Tool for capturing IMU sensor and video data through zed-open-capture
C++
3
star
22

iterative-smoothing-bridge

Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
Python
3
star
23

calibrated-dnn

Repository containing code for the paper: Fixing Overconfidence in Dynamic Neural Networks
Python
3
star
24

accelerated-arrays

Lightweight accelerated tensor / array programming library for smart phone GPUs
C++
2
star
25

view-aware-inference

Gaussian Process Priors for View-Aware Inference
Python
2
star
26

u-blox-capture

Python
1
star
27

apml

Advances in Probabilistic Machine Learning Seminar
1
star