dgranata / Intrinsic-Dimension
Python code for intrinsic dimension estimation of generic datasets
☆20Updated 5 years ago
Related projects: ⓘ
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 4 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 3 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 5 years ago
- This repo contains code for GeoMLE intrinsic dimension estimation algorithm☆20Updated 4 years ago
- Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning☆14Updated 3 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆41Updated 3 years ago
- Deep convolutional gaussian processes.☆77Updated 5 years ago
- ☆25Updated 6 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- gpbo☆25Updated 3 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 6 years ago
- ☆29Updated 2 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆30Updated 3 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆54Updated 5 years ago
- Examples of more involved applications using Geomstats☆32Updated 3 years ago
- Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.☆17Updated 6 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆23Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆15Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆17Updated 3 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 8 years ago
- ☆17Updated 4 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated 9 months ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- Natural Gradient, Variational Inference☆28Updated 4 years ago
- my PhD thesis on Bayesian inference☆28Updated 11 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆27Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago