olethrosdc / ml-society-scienceLinks
Notes and slides for a course on social and scientific aspects of machine learning
β10Updated last month
Alternatives and similar repositories for ml-society-science
Users that are interested in ml-society-science are comparing it to the libraries listed below
Sorting:
- Pyro models and misc examples.β19Updated 4 years ago
- π¦ Python library providing Two-Piece distributions functionality. It covers the subfamilies: TP Scale, TP Shape, and Double TP.β11Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colabβ28Updated 5 years ago
- Bayesian Banditsβ68Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inferenceβ27Updated 5 years ago
- β29Updated last year
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.β25Updated 2 years ago
- Composable kernels for scikit-learn implemented in JAX.β45Updated 5 years ago
- Distributional Gradient Boosting Machinesβ27Updated 2 years ago
- Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecastingβ22Updated last year
- Companion code for a tutorial on using Hydra.β30Updated 4 years ago
- Project on Causal Machine learning CS 7290β16Updated 5 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Applicationβ¦β25Updated 3 years ago
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)β11Updated 3 years ago
- β17Updated 6 months ago
- Jax SSM Libraryβ48Updated 2 years ago
- Exploring some issues related to churnβ17Updated last year
- Automatic Discovery of the Statistical Types of Variables in a Datasetβ23Updated 7 years ago
- This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directlyβ¦β51Updated 4 years ago
- πͺ Bayesian Hierarchical Models at Scaleβ51Updated 4 years ago
- Investigate the speed of adaptation of structural causal modelsβ15Updated 4 years ago
- Auxiliary variable Markov chain Monte Carlo methodsβ10Updated 8 years ago
- Global, derivative-free optimization for hyperparameter tuningβ43Updated 3 weeks ago
- A Python library for machine-learning and feedback loops on streaming dataβ62Updated 2 years ago
- Tutorial on time-series forcasting with scikit-learnβ34Updated 2 years ago
- Exploring the classical regression capabilities of LLMs.β18Updated last year
- Deep learning lectures I am holding for the MSc on Data Science and Scientific Computingβ14Updated 3 years ago
- Discontinuous Hamiltonian Monte Carlo in JAXβ42Updated 5 years ago
- A tutorial on JAX (https://github.com/google/jax/)β47Updated 6 years ago
- Evaluation Framework for Probabilistic Programming Languagesβ103Updated last year