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

• geflaspohler / poold
  Python library for Optimistic Online Learning under Delay
  ☆13Updated 3 years ago
• microprediction / optimizer-elo-ratings
  Assigns Elo Ratings to Python Global Optimizers
  ☆23Updated last year
• vincentblot28 / conformalized_gp
  ☆48Updated 11 months ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆52Updated 9 months ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 4 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 2 months ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆25Updated 2 months ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆29Updated 3 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated last month
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆30Updated 4 years ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆18Updated this week
• tcapelle / torch_moving_mnist
  A simple Dataset generator for Moving Mnist
  ☆14Updated 2 years ago
• mjhajharia / pydata21
  Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC
  ☆26Updated 4 years ago
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆47Updated last week
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 3 years ago
• Larsvanderlaan / SelfCalibratingConformal
  An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…
  ☆10Updated 11 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• Bostanabad-Research-Group / GP-for-pde-solving
  ☆18Updated last year
• MilesCranmer / pysr_scaling_laws
  You should use PySR to find scaling laws. Here's an example.
  ☆33Updated 2 years ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• tijana-zrnic / cross-ppi
  Cross-prediction-powered inference
  ☆15Updated last year
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆32Updated 3 years ago
• daviesl / trjp
  Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.
  ☆10Updated 2 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 8 months ago
• arm61 / uravu
  A straightforward Bayesian data fitting library
  ☆27Updated last year
• NSAPH-Projects / space
  SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding
  ☆18Updated 6 months ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• kailaix / PhysGNN
  generative neural network trained with physics knowledge
  ☆14Updated 4 years ago