ihooni's Stars
kubernetes/minikube
Run Kubernetes locally
derailed/k9s
🐶 Kubernetes CLI To Manage Your Clusters In Style!
go-delve/delve
Delve is a debugger for the Go programming language.
prometheus/prometheus
The Prometheus monitoring system and time series database.
hashicorp/terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
ansible/ansible
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
wsargent/docker-cheat-sheet
Docker Cheat Sheet
kubernetes/kubernetes
Production-Grade Container Scheduling and Management
team836/clowd-storage
A core manager for cooperative cloud storage
JaeYeopHan/Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
jglovier/resume-template
:page_facing_up::briefcase::tophat: A simple Jekyll + GitHub Pages powered resume template.
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
clvrai/awesome-rl-envs
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
junhyukoh/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
matplotlib/cheatsheets
Official Matplotlib cheat sheets
vikasverma1077/manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gyoogle/tech-interview-for-developer
👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
golang-standards/project-layout
Standard Go Project Layout
uber-go/guide
The Uber Go Style Guide.