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@AaltoML

AaltoML

Machine learning group at Aalto University lead by Prof. Solin

Popular repositories

  1. BayesNewton BayesNewton Public

    Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

    Python 214 26

  2. SDE SDE Public

    Example codes for the book Applied Stochastic Differential Equations

    MATLAB 160 40

  3. kalman-jax kalman-jax Public

    Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

    Jupyter Notebook 93 13

  4. vio_benchmark vio_benchmark Public

    Tools for benchmarking different Visual-Inertial Odometry solutions

    Python 58 13

  5. GP-MVS GP-MVS Public

    Multi-View Stereo by Temporal Nonparametric Fusion

    Python 56 6

  6. generative-inverse-heat-dissipation generative-inverse-heat-dissipation Public

    Code release for the paper Generative Modeling With Inverse Heat Dissipation

    Python 47 6

Repositories

Showing 10 of 41 repositories
  • sfr-experiments Public

    Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"

    Jupyter Notebook 1 MIT 0 0 0 Updated May 15, 2024
  • sfr Public

    PyTorch implementation of Sparse Function-space Representation of Neural Networks

    Jupyter Notebook 4 MIT 1 0 0 Updated Apr 12, 2024
  • gpt-2-Pytorch Public Forked from graykode/gpt-2-Pytorch

    Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

    Python 0 MIT 225 0 0 Updated Mar 11, 2024
  • vi-diffusion-processes Public Forked from secondmind-labs/markovflow

    Code for 'Variational Gaussian Process Difussion Processes' (AISTATS 2024)

    Python 0 Apache-2.0 5 0 0 Updated Feb 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.

    Python 214 Apache-2.0 26 4 0 Updated Dec 22, 2023
  • calibrated-dnn Public

    Repository containing code for the paper: Fixing Overconfidence in Dynamic Neural Networks

    Python 3 MIT 1 1 0 Updated Dec 7, 2023
  • iterative-smoothing-bridge Public

    Code for 'Transport with Support: Data-Conditional Diffusion Bridges'

    Python 4 MIT 0 1 0 Updated Nov 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

    0 MIT 0 0 0 Updated Aug 22, 2023
  • sequential-gp Public

    Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)

    Jupyter Notebook 8 MIT 2 0 0 Updated Aug 16, 2023
  • improved-hyperparameter-learning Public

    Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)

    Jupyter Notebook 0 MIT 1 0 0 Updated Jul 18, 2023

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