AaltoML

Machine learning group at Aalto University lead by Prof. Solin

Finland

Pinned Repositories

android-viotester
Visual-Inertial Odometry (VIO) benchmark app for Android
Language:Java53 6 59
BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
Language:Python237 9 2231
desplat
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
Language:Python34 7 04
generative-inverse-heat-dissipation
Code release for the paper Generative Modeling With Inverse Heat Dissipation
Language:Python76 5 410
GP-MVS
Multi-View Stereo by Temporal Nonparametric Fusion
Language:Python61 5 36
IHGP
Infinite-horizon Gaussian processes
Language:MATLAB33 4 29
kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
Language:Jupyter Notebook100 10 113
SDE
Example codes for the book Applied Stochastic Differential Equations
Language:MATLAB198 8 348
spatio-temporal-GPs
Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
Language:Python47 2 14
vio_benchmark
Tools for benchmarking different Visual-Inertial Odometry solutions
Language:Python62 5 313

AaltoML's Repositories

AaltoML/BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
Language:Python237 9 2231
AaltoML/kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
Language:Jupyter Notebook100 10 113
AaltoML/generative-inverse-heat-dissipation
Code release for the paper Generative Modeling With Inverse Heat Dissipation
Language:Python76 5 410
AaltoML/vio_benchmark
Tools for benchmarking different Visual-Inertial Odometry solutions
Language:Python62 5 313
AaltoML/desplat
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
Language:Python34 7 04
AaltoML/uncertainty-nerf-gs
Code release for the paper "Sources of Uncertainty in 3D Scene Reconstruction"
Language:Python26 7 23
AaltoML/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.
Language:Shell22 4 17
AaltoML/scalable-inference-in-sdes
Methods and experiments for assumed density SDE approximations
Language:Jupyter Notebook12 2 13
AaltoML/sequential-gp
Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)
Language:Jupyter Notebook12 4 02
AaltoML/SUQ
SUQ: Streamlined Uncertainty Quantification
Language:Python10 4 02
AaltoML/t-SVGP
Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes' (NeurIPS 2021)
Language:Python9 1 02
AaltoML/BayesVLM
Code for Post-hoc Probabilistic Vision-Language Models
Language:Python7 4 17
AaltoML/nsvqgs
Public codes for SCIA2025 paper: "Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization"
Language:Python5
AaltoML/sfr
PyTorch implementation of Sparse Function-space Representation of Neural Networks
Language:Jupyter Notebook5 3 01
AaltoML/iterative-smoothing-bridge
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
Language:Python4 1 10
AaltoML/calibrated-dnn
Repository containing code for the paper: Fixing Overconfidence in Dynamic Neural Networks
Language:Python3 1 11
AaltoML/free-hunch
Official code for Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Language:Jupyter Notebook3
AaltoML/bitvi
Repository for the paper "Approximate Bayesian Inference via Bitstring Representations" published at UAI2025
Language:Python2
AaltoML/improved-hyperparameter-learning
Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)
Language:Jupyter Notebook2 1 02
AaltoML/ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Language:C++2 0 0
AaltoML/vi-diffusion-processes
Code for 'Variational Gaussian Process Difussion Processes' (AISTATS 2024)
Language:Python2 2 02
AaltoML/apml
Advances in Probabilistic Machine Learning Seminar
1 2 0
AaltoML/FlatFSL
Code for "Flatness Improves Backbone Generalisation in Few-shot Classification", WACV 2025.
Language:Python1 3 0
AaltoML/gpt-2-Pytorch
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
Language:Python1 0 0
AaltoML/hamiltorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Language:Jupyter Notebook1 0 01
AaltoML/sfr-experiments
Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"
Language:Jupyter Notebook1 4 0
AaltoML/psd-pc
Repository for code utilized in 'Encoding Negative Dependencies in Probabilistic Circuits' paper submitted to the Tractable Probabilistic Modelling 2023 workshop
0 1 00
AaltoML/3dgs-deblur
[ECCV2024] Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion
AaltoML/heterophily-imp
Public codes for TMLR2025 paper: "Heterophily-informed Message Passing".
Language:Python
AaltoML/HybVIO
HybVIO visual-inertial odometry and SLAM system
Language:C++0 0