B0RIS15

B0RIS15's Stars

• ThomasL53/BRETAGNE

  Scenario simulation used for cage challenge 4 with Kathara

  Language:Python5

• cage-challenge/cage-challenge-4

  The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario.

  Language:Python3510

• jaromiru/NASimEmu

  Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be deployed in the emulation.

  Language:Python329

• elishatofunmi/pytennis-Discrete-Mathematics-Approach-

  A reinforcement learning based tennis game - Discrete mathematics approach

  Language:Jupyter Notebook122

• xtekky/gpt4free

  The official gpt4free repository | various collection of powerful language models

  Language:Python60.3k13.3k

• typst/typst

  A new markup-based typesetting system that is powerful and easy to learn.

  Language:Rust33.8k908

• anita-hu/TF2-RL

  Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

  Language:Python29868

• zabbix/community-templates

  Zabbix Community Templates repository

  Language:Python1.4k1.8k

• Ignitetechnologies/Mindmap

  This repository will contain many mindmaps for cyber security technologies, methodologies, courses, and certifications in a tree structure to give brief details about them

  7k1.4k

• kubeshop/monokle

  Monokle is a set of OSS tools designed to help create and maintain high-quality Kubernetes configurations throughout the application lifecycle

  Language:TypeScript1.8k132

• andrecianflone/thompson

  Thompson Sampling Tutorial

  Language:Jupyter Notebook5118

• h2oai/wave

  Realtime Web Apps and Dashboards for Python and R

  Language:Python4k327

• afvca/trackmania-rl

  Trackmania RL

  Language:Python5

• mbadolato/iTerm2-Color-Schemes

  Over 250 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio, Alacritty

  Language:Shell24.7k6.4k

• hampusramstrom/gym-threat-defense

  Language:Python72

• microsoft/CyberBattleSim

  An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

  Language:Jupyter Notebook1.7k261

• Limmen/gym-optimal-intrusion-response

  A Simulated Optimal Intrusion Response Game

  Language:Python205

• akhadangi/Multi-armed-Bandits

  In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandits) and Kernel UCB. Some of the well cited papers in this context are also implemented.

  Language:Jupyter Notebook7622

• JKCooper2/gym-bandits

  Bandits Environments for the OpenAI Gym

  Language:Python8933

• yfletberliac/rlss-2019

  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).

  Language:Jupyter Notebook8742

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.6k8.6k

• cwjwudi/sin-cassie-rl-python

  Language:Python91

• kubernetes-sigs/security-profiles-operator

  The Kubernetes Security Profiles Operator

  Language:C699107

• Wilfred/difftastic

  a structural diff that understands syntax 🟥🟩

  Language:Rust20.7k339

• fastapi/full-stack-fastapi-template

  Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

  Language:TypeScript26.9k4.8k

• docker/hacktoberfest-2022

  Docker Hacktoberfest 2022

  14066

• jfrog/jfrog-docker-desktop-extension

  🐸 Scans any of your local Docker images for security vulnerabilities. 🐋

  Language:TypeScript7413

• google-deepmind/dm_control

  Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

  Language:Python3.8k667

• evgenii-nikishin/rl_with_resets

  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

  Language:Python976

• wardviaene/terraform-course

  Course files for my Udemy course about Terraform

  Language:HCL1.6k4k