dataiku / dss-plugin-model-driftLinks
Model drift detection
☆11Updated 2 years ago
Alternatives and similar repositories for dss-plugin-model-drift
Users that are interested in dss-plugin-model-drift are comparing it to the libraries listed below
Sorting:
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated 2 years ago
- python library for automated dataset normalization☆116Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago
- The easiest way to integrate Kedro and Great Expectations☆53Updated 2 years ago
- Visualization ideas for data science☆20Updated 7 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!☆134Updated last week
- Kedro Wings automatically creates catalog entries to simplify Kedro pipeline writing. See the video here: https://www.youtube.com/watch?v…☆22Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆100Updated last week
- Building an API with the FastAPI framework to serve a scikit-learn model.☆18Updated 6 years ago
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago
- KnowledgeRepo + JupyterLab☆48Updated 8 months ago
- python package for performing deduplication using flexible text matching and cleaning in pandas dataframe☆25Updated 4 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Dashboard to explore the data and to create baseline Machine Learning model.☆13Updated 4 years ago
- Streaming API for pandas applied to big datasets☆31Updated 10 months ago
- real-time data + ML pipeline☆54Updated last week
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 4 years ago
- Primrose modeling framework for simple production models☆32Updated last year
- Comparing Polars to Pandas and a small introduction☆44Updated 4 years ago
- datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…☆58Updated 3 years ago
- Sample projects using Ploomber.☆86Updated last year
- Talks about vaex☆36Updated 2 years ago
- JupyterLab renderer of dagitty causal diagrams☆23Updated last year
- bayesian graphical modelling and a bit of do-calculus for discrete data.☆27Updated 5 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated last year
- Viewer for Altair and Vega-Lite visualizations☆81Updated last year