lwehbe / 10606607_M20Links
☆14Updated 5 years ago
Alternatives and similar repositories for 10606607_M20
Users that are interested in 10606607_M20 are comparing it to the libraries listed below
Sorting:
- ☆85Updated 2 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 5 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆55Updated 4 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆57Updated 4 years ago
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆27Updated 4 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- ☆20Updated 3 years ago
- ☆54Updated last year
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 3 months ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 6 months ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆48Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 4 months ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆213Updated last year
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆90Updated 7 years ago
- Hyperbolic PCA via Horospherical Projections☆73Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated last year