Bandit is a tool designed to find common security issues in Python code.
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Updated
Jul 1, 2024 - Python
Bandit is a tool designed to find common security issues in Python code.
Automated security testing using bandit and flake8.
Python application to setup and run streaming (contextual) bandit experiments.
A pre-commit hook to find common security issues in your Python code
Thoth's Security Indicator Aggregator
Thoth's Security Indicator using bandit
pytest plugin to execute bandit across a codebase
A codeclimate engine for bandit.
Python library of bandits and RL agents in different real-world environments
An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR 2022.
Configuration files leveraging pre-commit for Python code linting and formatting.
Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
Codes for simulations in the paper "On Worst-case Regret of Linear Thompson Sampling"
Examples of gitlab-ci jobs, pytest slack integration, pylint-check jobs, gitlab-artifacts, parametrization-tests, multithread execution for methods, sitemap checking links status. Mirrored from gitlab.
This Repository contains my implementation of popular algorithms on popular environments.
Playing with FastAPI by creating an investment projections service (using Nutmeg's calculator to actually calculate the projections)
Cookiecutter template for easy python packaging.
Add a description, image, and links to the bandit topic page so that developers can more easily learn about it.
To associate your repository with the bandit topic, visit your repo's landing page and select "manage topics."