AaltoML

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42 repositories

apml
Public
Advances in Probabilistic Machine Learning Seminar
0•1•0•0•Updated Nov 27, 2024Nov 27, 2024
uncertainty-nerf-gs
Public
Code release for the paper "Sources of Uncertainty in 3D Scene Reconstruction"
Python
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MIT License
•2•20•0•0•Updated Nov 26, 2024Nov 26, 2024
sfr-experiments
Public
Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"
deep-learning pytorch bayesian-inference gaussian-processes bayesian-neural-networks bayesian-deep-learning laplace-approximation
Jupyter Notebook
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MIT License
•0•1•0•0•Updated May 15, 2024May 15, 2024
sfr
Public
PyTorch implementation of Sparse Function-space Representation of Neural Networks
deep-learning pytorch bayesian-inference gaussian-processes bayesian-neural-networks laplace-approximation
Jupyter Notebook
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MIT License
•1•5•0•0•Updated Apr 12, 2024Apr 12, 2024
gpt-2-Pytorch
Public
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
Python
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MIT License
•228•0•0•0•Updated Mar 11, 2024Mar 11, 2024
vi-diffusion-processes
Public
Code for 'Variational Gaussian Process Difussion Processes' (AISTATS 2024)
Python
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Apache License 2.0
•6•1•0•0•Updated Feb 27, 2024Feb 27, 2024
BayesNewton
Public
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
signal-processing state-space-models jax approximate-bayesian-inference sparse-gps markov-gps machine-learning gaussian-processes
Python
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Apache License 2.0
•28•227•2•0•Updated Dec 22, 2023Dec 22, 2023
calibrated-dnn
Public
Repository containing code for the paper: Fixing Overconfidence in Dynamic Neural Networks
uncertainty-quantification overconfidence dynamic-neural-network
Python
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MIT License
•1•3•1•0•Updated Dec 7, 2023Dec 7, 2023
iterative-smoothing-bridge
Public
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
optimal-transport diffusion-models tmlr
Python
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MIT License
•0•4•1•0•Updated Nov 24, 2023Nov 24, 2023
psd-pc
Public
Repository for code utilized in 'Encoding Negative Dependencies in Probabilistic Circuits' paper submitted to the Tractable Probabilistic Modelling 2023 workshop
MIT License
•0•0•0•0•Updated Aug 22, 2023Aug 22, 2023
sequential-gp
Public
Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)
continual-learning gaussian-process icml-2023
Jupyter Notebook
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MIT License
•2•10•0•0•Updated Aug 16, 2023Aug 16, 2023
improved-hyperparameter-learning
Public
Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)
expectation-propagation gaussian-processes variational-inference approximate-inference
Jupyter Notebook
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MIT License
•2•1•0•0•Updated Jul 18, 2023Jul 18, 2023
kalman-jax
Public
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
machine-learning signal-processing gaussian-processes state-space-models kalman-smoother approximate-bayesian-inference
Jupyter Notebook
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Apache License 2.0
•13•96•1•2•Updated Jul 6, 2023Jul 6, 2023
hamiltorch
Public
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Jupyter Notebook
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BSD 2-Clause "Simplified" License
•63•1•0•0•Updated May 12, 2023May 12, 2023
generative-inverse-heat-dissipation
Public
Code release for the paper Generative Modeling With Inverse Heat Dissipation
Python
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MIT License
•7•59•2•0•Updated Apr 30, 2023Apr 30, 2023
vio_benchmark
Public
Tools for benchmarking different Visual-Inertial Odometry solutions
Python
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Apache License 2.0
•13•58•1•0•Updated Sep 28, 2022Sep 28, 2022
HybVIO
Public
HybVIO visual-inertial odometry and SLAM system
C++
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GNU General Public License v3.0
•92•0•0•0•Updated May 5, 2022May 5, 2022
mobile-cv-suite
Public
A Computer Vision & real-time ML resarch library for mobile phones. The building blocks required to test new algorithms on mobile & embedded devices.
Shell
•6•21•0•0•Updated Mar 4, 2022Mar 4, 2022
scalable-inference-in-sdes
Public
Methods and experiments for assumed density SDE approximations
Jupyter Notebook
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MIT License
•2•11•1•0•Updated Jan 26, 2022Jan 26, 2022
t-SVGP
Public
Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes' (NeurIPS 2021)
gaussian-processes variational-inference
Python
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MIT License
•2•8•0•0•Updated Dec 13, 2021Dec 13, 2021
ORB_SLAM3
Public
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
C++
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GNU General Public License v3.0
•2.6k•2•0•0•Updated Nov 18, 2021Nov 18, 2021
accelerated-arrays
Public
Lightweight accelerated tensor / array programming library for smart phone GPUs
C++
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Apache License 2.0
•2•2•0•1•Updated Nov 14, 2021Nov 14, 2021
spatio-temporal-GPs
Public
Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
gaussian-processes variational-inference spatio-temporal
Python
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MIT License
•2•46•1•0•Updated Nov 11, 2021Nov 11, 2021
Newt
Public
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's algorithm.
0•0•0•0•Updated Nov 2, 2021Nov 2, 2021
PeriodicBNN
Public
Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
neural-network activation-functions machine-learning deep-learning
Jupyter Notebook
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MIT License
•2•18•0•0•Updated Oct 27, 2021Oct 27, 2021
u-blox-capture
Public
Python
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GNU General Public License v3.0
•1•1•0•0•Updated Aug 5, 2021Aug 5, 2021
SDE
Public
Example codes for the book Applied Stochastic Differential Equations
statistics stochastic-differential-equations book-examples
MATLAB
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MIT License
•44•181•1•0•Updated Jul 14, 2021Jul 14, 2021
SLAM-module
Public
SLAM module
C++
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GNU General Public License v3.0
•12•20•0•0•Updated Jun 17, 2021Jun 17, 2021
zed-capture
Public
Tool for capturing IMU sensor and video data through zed-open-capture
C++
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Apache License 2.0
•1•3•0•0•Updated Jun 9, 2021Jun 9, 2021
TheiaSfM
Public
An open source library for multiview geometry and structure from motion
C++
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Other
•280•0•0•0•Updated May 21, 2021May 21, 2021