probml / probml-data
Datasets associated with pyprobml
☆19Updated last year
Related projects ⓘ
Alternatives and complementary repositories for probml-data
- Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition☆10Updated 2 years ago
- Jax SSM Library☆49Updated 2 years ago
- Bayesian Bandits☆66Updated last year
- A flexible, extensible framework for training and evaluating time-series forecasting models.☆5Updated 3 weeks ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 5 years ago
- ☆17Updated 3 years ago
- This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.☆11Updated 2 years ago
- Utilities for probabilistic ML☆32Updated last year
- Minimax Estimation of Conditional Moment Models☆29Updated last year
- Libraries for Scientific Computing☆10Updated 5 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆24Updated last year
- Companion code for a tutorial on using Hydra.☆27Updated 3 years ago
- A package for Safe Anytime Valid Inference☆22Updated 2 weeks ago
- ☆47Updated 3 weeks ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆21Updated last year
- Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology☆32Updated 2 months ago
- Lectures on Quantitative Economics Using JAX☆28Updated this week
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆22Updated 3 years ago
- Code for Flexible Model Aggregation for Quantile Regression☆17Updated 2 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 4 years ago
- LaTeX source code for the slides☆22Updated 3 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated last month
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 7 months ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated last year
- Causal Inference in Python☆38Updated 3 months ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 4 years ago
- Bayesian Adaptive Spline Surfaces for flexible and automatic regression☆22Updated 5 months ago
- ☆23Updated last year
- Probabilistic Programming and Bayesian Computing with PyMC☆12Updated last week