Showing 21-40 of 98 projects
Digital Privacy is a comprehensive collection of resources for information protection and open-source intelligence (OSINT)
This GitHub repository contains a collection of useful IT policies for developers.
A Rust-based tool that helps developers write more correct Bash scripts by highlighting syntax issues.
A comprehensive resource for learning deep reinforcement learning with Python and Jupyter Notebook.
Generates customized Privacy Policy and Terms of Use documents for mobile apps
Security Monkey monitors cloud assets and their changes over time for AWS, GCP, OpenStack, and GitHub.
A comprehensive collection of tutorials and resources for AI, deep learning, and machine learning in Python.
PyTorch implementation of popular reinforcement learning algorithms like A2C, PPO, ACKTR and GAIL for developers.
Diffusion Policy Visuomotor Policy Learning via Action Diffusion
A security-focused process isolation tool that leverages Linux namespaces, cgroups, and seccomp-bpf for enhanced security.
A Perl-based policy-driven snapshot management and replication tool that uses OpenZFS for next-gen storage.
A minimalist and clean set of reinforcement learning examples in Python for developers to learn and experiment with.
Open-source imitation learning algorithms for mobile robotics and AI-powered applications.
An attempt to tame Rails' default policy to log everything.
Generate IAM policies from AWS, Azure, or GCP API calls using client-side monitoring or embedded proxy
A comprehensive site providing end-of-life dates for various technologies and frameworks.
Minimal implementations of basic reinforcement learning algorithms in PyTorch for educational purposes.
Write tests against structured configuration data using the Open Policy Agent Rego query language.
An in-memory cache library for Go with support for multiple eviction policies like LRU, LFU, and ARC.
KICS by Checkmarx helps developers find security vulnerabilities and compliance issues in infrastructure-as-code early in the development cycle.
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