Popular GitHub Repositories for Cis Controls

:atom: [WIP] 整理过去的分享，从零开始的Kubernetes攻防 ?

Discovering Interpretable GAN Controls [NeurIPS 2020]

An AutoGPT agent that controls Chrome on your desktop

A collection of resources on controllable generation with text-to-image diffusion models.

A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

Reinforcement Learning Experiments using PyBullet

Conformal prediction for time-series applications.

Modular, open source LLMOps stack that separates concerns: LiteLLM unifies LLM APIs, manages routing and cost controls, and ensures high-availability, while Langfuse focuses on detailed observability, prompt versioning, and performance evaluations.

Testing platform for covert data exfiltration techniques where sensitive documents are embedded into vector representations and tunneled out under the guise of legitimate RAG operations — bypassing traditional security controls and evading detection through semantic obfuscation.

The official pytorch code of DeFLOCNet: Deep Image Editing via Flexible Low-level Controls (CVPR2021)

AI controller that controls your robot.

AI agent that controls a computer

DeepSeek controls the panda robotic arm

[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning

A GitHub action to run easily rasa train and rasa test in the CIs.

Save, load, host, and share AI model checkpoints without slowing down training. Host on Lightning AI or your own cloud with enterprise-grade access controls.

MCP File System Server: A secure Model Context Protocol server that provides file operations for AI assistants. Enables Claude and other assistants to safely read, write, and list files in a designated project directory with robust path validation and security controls.

Harness the power of deep reinforcement learning to optimize your Home Energy Management System (HEMS). Our tailored agent, trained on the CoSES ProHMo Modelica framework, efficiently controls a building's heat pump and thermal storage valve.

Tokamak plasma operation control through multi-objective reinforcement learning in KSTAR

Official PyTorch implementation of "Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging". LDAE is a novel unsupervised framework for 3D medical imaging that combines a latent diffusion model with semantic controls.