Quantmetry / awesome_quantmetryLinks
A list of repositories commonly used @ Quantmetry
☆14Updated 6 years ago
Alternatives and similar repositories for awesome_quantmetry
Users that are interested in awesome_quantmetry are comparing it to the libraries listed below
Sorting:
- Implementation of tree-structured neural networks in PyTorch.☆14Updated 4 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- Initier la mise à disposition, pour tout citoyen, de techniques d’Intelligence Artificielle destinées à appréhender le nombre important d…☆11Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- an easy way to define preprocessing data pipeline (similar to sklean-pandas but for Spark ML)☆17Updated 6 years ago
- Python package for Imputation Methods☆251Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆230Updated last month
- A toolbox for fair and explainable machine learning☆55Updated last year
- scikit-learn-inspired time series☆201Updated last year
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆215Updated 2 months ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆509Updated 4 months ago
- Start a data science project with modern tools☆203Updated 2 years ago
- Projet de prédiction de transplantation pulmonaire en partenariat avec l'hôpital Foch☆20Updated 3 years ago
- Phi_K correlation analyzer library☆172Updated 3 weeks ago
- Time should be taken seer-iously☆318Updated 2 years ago
- Berlin Time Series Analysis Repository☆104Updated 2 years ago
- A template for scikit-learn extensions☆339Updated 11 months ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆164Updated 5 years ago
- Dockerized ML Cookiecutter☆75Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated 2 years ago
- Streamline scikit-learn model comparison.☆143Updated 3 years ago
- machine learning with logical rules in Python☆655Updated last year
- 📊 Explain why metrics change by unpacking them☆40Updated 2 weeks ago
- How do we measure the degradation of a machine learning process? Why does the performance of our predictive models decrease? Maybe it is …☆33Updated 4 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆321Updated 8 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 3 years ago
- Distance metrics which can handle mixed-type data and missing values☆59Updated 3 years ago
- A kedro plugin to use pandera in your kedro projects☆36Updated 4 months ago
- Python package for Gower distance☆82Updated last year
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆84Updated 3 months ago