williamgilpin / shrecLinks
Reconstructing shared causal drivers from noisy time series
☆58Updated last year
Alternatives and similar repositories for shrec
Users that are interested in shrec are comparing it to the libraries listed below
Sorting:
- ☆48Updated 11 months ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆26Updated 7 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"☆17Updated last year
- Patched Attention for Nonlinear Dynamics☆162Updated 2 weeks ago
- ☆16Updated 3 months ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆65Updated last year
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆41Updated 3 months ago
- A Python Library for Learning Non-Euclidean Representations☆68Updated 5 months ago
- Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)☆44Updated last year
- A Python Wrapper for the Inform Information Analysis Library☆56Updated 6 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆123Updated this week
- Conformal Prediction for Time Series with Modern Hopfield Networks☆85Updated 7 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Repository for Evaluating Explanation Methods for Multivariate Time Series Classification paper☆10Updated last year
- Comparative analysis of pairwise interactions in multivariate time series.☆249Updated 3 months ago
- The Official PyTorch Implementation of "Brain-like Variational Inference" (NeurIPS 2025 Paper)☆64Updated last month
- Highly Comparative Graph Analysis - Code for network phenotyping☆50Updated last year
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆52Updated 3 months ago
- A Brief Introduction to Path Signatures for Machine Learning Practitioners☆55Updated 4 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- Quantify geometric intelligence in natural and artificial brains.☆51Updated 6 months ago
- ☆34Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated last year
- Exca - Execution and caching tool for python☆112Updated this week
- Forecast evaluation library☆135Updated last week
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Updated 2 weeks ago
- Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.☆11Updated last year
- Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting☆55Updated last year
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆77Updated 2 years ago