AlxndrMlk / PyDataGlobal2021Links
☆12Updated 3 years ago
Alternatives and similar repositories for PyDataGlobal2021
Users that are interested in PyDataGlobal2021 are comparing it to the libraries listed below
Sorting:
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 11 months ago
- The 2020 Version of the Deep Learning Course☆8Updated 5 years ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆25Updated last week
- A library for Time-Series exploration, analysis & modelling.☆17Updated 4 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Tools for diagnostics and assessment of (machine learning) models☆38Updated 3 months ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Materials for conference talks and workshops☆31Updated last month
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 6 years ago
- A library for Time Series EDA (exploratory data analysis)☆69Updated 10 months ago
- [Intemarché] Sales forecasting challenge☆11Updated 4 years ago
- PyData London 2022 Tutorial☆66Updated 3 years ago
- Prune your sklearn models☆19Updated 7 months ago
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- A mixture density network, by PyTorch, for scikit-learn☆23Updated 6 months ago
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- Code for the DataPipes article☆15Updated 3 years ago
- Toolkit to forge scikit-learn compatible estimators☆19Updated 3 weeks ago
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆22Updated last year
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆33Updated 2 years ago
- A neural network hyper parameter tuner☆30Updated last year
- ☆13Updated last year
- Exploring some issues related to churn☆16Updated last year
- Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data☆9Updated 3 months ago
- Repository containing the code of the projects presented in my personal website.☆42Updated 2 weeks ago
- ☆21Updated last year