ronikobrosly / scipy_2023_causal_inference_tutorialLinks
Materials for a proposed Causal Inference Tutorial session at SciPy 2023
☆12Updated 2 years ago
Alternatives and similar repositories for scipy_2023_causal_inference_tutorial
Users that are interested in scipy_2023_causal_inference_tutorial are comparing it to the libraries listed below
Sorting:
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- Python library for Optimistic Online Learning under Delay☆13Updated 3 years ago
- GCM Physics written in JAX☆60Updated this week
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 3 years ago
- An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…☆10Updated last year
- ☆27Updated 5 months ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- Lectures on Quantitative Economics Using JAX☆48Updated this week
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆25Updated 5 years ago
- Companion code for a tutorial on using Hydra.☆33Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Global, derivative-free optimization for hyperparameter tuning☆44Updated 3 months ago
- A repo of Flyte-related conference talks☆14Updated last year
- Recursive Bayesian Estimation (Sequential / Online Inference)☆61Updated last year
- Assigns Elo Ratings to Python Global Optimizers☆23Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 3 weeks ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆25Updated 4 years ago
- ☆18Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- generative neural network trained with physics knowledge☆14Updated 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
- ☆48Updated last year
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- ☆11Updated 3 years ago
- Bayesian Adaptive Spline Surfaces for flexible and automatic regression☆25Updated 3 months ago
- Numpyro examples in Python notebooks☆11Updated 5 years ago
- Gaussian Process Model Building Interface☆52Updated 10 months ago
- DARPA AIE (AI-Assisted Climate Tipping Point): AIBEDO (A hybrid AI framework to capture the effects of cloud properties on global circula…☆18Updated last year