Giter VIP home page Giter VIP logo

gudovskiy / contextflow Goto Github PK

View Code? Open in Web Editor NEW
3.0 3.0 2.0 2.54 MB

Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"

Home Page: https://arxiv.org/abs/2406.00578

Python 99.63% Cython 0.37%
anomaly-detection context-aware density-estimation normalizing-flows predictive-maintenance time-series unsupervised-learning variational-method

contextflow's People

Contributors

gudovskiy avatar

Stargazers

avatar avatar avatar

Watchers

avatar avatar

Forkers

leonardo-holtz-isi avv22

contextflow's Issues

Inference for anomaly detection

After the training, how can I run a single prediction for anomaly detection, without any evaluation? I don't quite understand what type of post-processing I need to do for the log prob output to just achieve AD predictions when I don't have GT data

Replicating results from the paper

Would you mind posting the command to replicate the results in the table for ContextFlow? The command:

python model.py --gpu 0 --dataset smap --coupling trans --action-type train-generalist

Appears to be the only one in the command list with dataset as smap. But that seems to be the generalist model both from the "train-generalist" and from the results I get when I run it compared to the results from the table.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.