Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings
@fraware
fraware
Follow

Matéo H. Petel fraware

🎯
Focusing
Curiosity. ________________________________________________________________________________________ Stanford | NASA JPL | Oxford | ENS

Organizations

@SentinelOps-CI

Block or report fraware

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.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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

Report abuse
fraware /README.md

Pinned Loading

  1. DeepLiDARPlanet DeepLiDARPlanet Public

    Deep Learning Repo for Biomass Estimation from Airborne and Spaceborne images.

    Python 11 1

  2. chaoslabs chaoslabs Public

    ChaosLabs is a platform that allows developers and SREs to simulate failures, inject faults, and monitor the behavior of distributed systems in real time.

    Go 6

  3. leanverifier leanverifier Public

    Framework for specifying and proving properties—such as robustness, fairness, and interpretability—of machine learning models using Lean 4.

    Lean 83 5

  4. LabTrust-Gym LabTrust-Gym Public

    A multi-agent environment (PettingZoo/Gym) for hospital lab automation, with a reference trust skeleton.

    Python 2

  5. lean-containers lean-containers Public

    lean-containers is a container library for Lean 4 that provides type-safe, mathematically rigorous implementations of container types and operations.

    Batchfile 2

  6. scientific-memory scientific-memory Public

    Buildable, machine-checkable scientific knowledge.

    Python 2

AltStyle によって変換されたページ (->オリジナル) /