pierreablin / adversarial_example
A simple adversarial attack on a linear model
☆21Updated 5 years ago
Alternatives and similar repositories for adversarial_example:
Users that are interested in adversarial_example are comparing it to the libraries listed below
- Automatic differentiation + optimization☆104Updated 5 years ago
- Python implementation of R package breakDown☆42Updated last year
- Tutorial on interpreting and understanding machine learning models☆68Updated 6 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆19Updated 3 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 5 years ago
- PyMC3-like Interface for Pyro☆37Updated 5 years ago
- Introduction to PyTorch Workshop at the AMLD 2019☆31Updated 5 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆12Updated 7 years ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 5 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"☆18Updated 5 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 3 years ago
- ☆13Updated 6 years ago
- Central repository for my distributions figures☆16Updated 5 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- ☆57Updated 3 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- An R package for the Latent Environmental & Genetic InTeraction (LEGIT) model☆12Updated 4 years ago
- ☆15Updated 6 years ago
- Matrix tools for building and inspecting latent spaces☆27Updated 6 years ago
- Materials for a course on scikit-learn at ENSAE☆31Updated 8 years ago
- Interpretable ML package designed to explain any machine learning model.☆61Updated 6 years ago
- Jupyter Notebook extension to track notebook history☆10Updated 7 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- Introduction to web scraping and text mining☆48Updated 5 years ago
- presentations☆44Updated 6 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 10 years ago
- An interactive article about the geometric intuition behind Linear Discriminant Analysis.☆30Updated 6 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- ☆29Updated 9 months ago