BorisMuzellec / TROTLinks
A python implementation of discrete optimal transport with a Tsallis entropy regularization.
☆13Updated last year
Alternatives and similar repositories for TROT
Users that are interested in TROT are comparing it to the libraries listed below
Sorting:
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- A Python module for detecting, analysing and visualising persistent homological features of complex networks☆30Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- ☆11Updated 9 years ago
- Uses several statistical tests / algorithms on marginal / conditional distributions☆8Updated last year
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 9 months ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Dynamic programming algorithms for exact linear clustering in networks.☆16Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Functional matrix factorization via Bayesian tensor filtering☆13Updated 2 years ago
- Code for NaiveFeatureSelection, i.e. feature selection in Naive Bayes, see https://arxiv.org/abs/1905.09884☆9Updated 4 years ago
- ☆29Updated 6 years ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Change Detection in a sequence of Graphs☆22Updated 3 years ago
- Temporal Motif Finder☆25Updated 8 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Revealing mesocale structures of time-varying networks through non-negative tensor factorization☆45Updated 10 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 2 months ago
- The Linear Optimal Transport Framework☆15Updated 4 years ago