BleckwenAI / mli-catalog
A catalog of Jupyter Notebooks presenting new techniques to interpret black box machine learning models.
☆15Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for mli-catalog
- Python implementation of R package breakDown☆41Updated last year
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 3 years ago
- Practical ideas on securing machine learning models☆36Updated 3 years ago
- this repo might get accepted☆29Updated 3 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- PyDataLondonTutorial☆26Updated 8 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 4 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 7 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- Tutorial for a new versioning Machine Learning pipeline☆81Updated 3 years ago
- SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.☆47Updated 6 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 8 years ago
- ☆15Updated 6 years ago
- Python application to setup and run streaming (contextual) bandit experiments.☆79Updated last year
- Embed categorical variables via neural networks.☆59Updated last year
- Visualization ideas for data science☆19Updated 6 years ago
- ☆14Updated 5 years ago
- Dummy variable generation with fit/transform capabilities☆23Updated 6 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 6 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated 7 months ago
- Learning hyperparameters for unsupervised anomaly detection☆37Updated 5 years ago
- Some experiments into explaining complex black box ensemble predictions.☆73Updated 4 years ago
- Public repository for versioning machine learning data☆42Updated 2 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated 5 months ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- The Data Linter identifies potential issues (lints) in your ML training data.☆87Updated 6 years ago
- Examples of unfairness detection for a classification-based credit model☆19Updated 5 years ago