Skip to content
  • Rotterdam, The Netherlands



Block or Report

Block or report bflammers

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. A PyTorch implementation of an autoencoder trained to minimize the Mahalanobis distance between input and reconstruction.

    Python 14 2

  2. ANN2 Public

    Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders

    C++ 9 3

  3. An embedding for categorical data that is well suited for anomaly detection.

    Jupyter Notebook 1

  4. A hierarchical (in a Bayesian way) implementation of FB Prophet. Can be used to model multiple correlated timeseries simultaneously

    Jupyter Notebook

  5. Tools to help with making automated trading decisions, executing orders and backtesting new strategies


  6. Code to benchmark several unsupervised anomaly detection models on various data sets

    Jupyter Notebook

242 contributions in the last year

Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Mon Wed Fri

Contribution activity

December 2021

Created 3 commits in 1 repository

Seeing something unexpected? Take a look at the GitHub profile guide.