sahanabalappa
👋 Hello, I'm Sahana 🛠️ DevOps Engineer at TCS (Tata Consultancy Services).
Tata Consultancy ServicesBangalore
sahanabalappa's Stars
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.
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Unity-Technologies/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
collabnix/dockerlabs
Docker - Beginners | Intermediate | Advanced
tenable/terrascan
Detect compliance and security violations across Infrastructure as Code to mitigate risk before provisioning cloud native infrastructure.
andri27-ts/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
tomhuang12/awesome-k8s-resources
A curated list of awesome Kubernetes tools and resources.
stackrox/kube-linter
KubeLinter is a static analysis tool that checks Kubernetes YAML files and Helm charts to ensure the applications represented in them adhere to best practices.
cncf/mentoring
👩🏿🎓👨🏽🎓👩🏻🎓CNCF Mentoring: LFX Mentorship + Summer of Code
iam-veeramalla/Azure-zero-to-hero
Repository to learn Azure from Zero. This repository covers the complete Azure fundamentals required for a DevOps Engineer.
GoogleCloudPlatform/continuous-deployment-on-kubernetes
Get up and running with Jenkins on Google Kubernetes Engine
Rafael1s/Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
EddieHubCommunity/support
Community Help & Support and AEA (Ask Everyone Anything)
DeNA/HandyRL
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
in28minutes/roadmaps
Roadmaps of in28minutes courses!
scholzj/terraform-aws-kubernetes
Terraform module for Kubernetes setup on AWS
TechieZilla/Qwiklabs
vinitshahdeo/Map-of-India
A Node.js script to generate the Map of India in terminal
qijungu/screenshare
Share screen in local network (a Python kit)
CN-UPB/NFVdeep
NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains
CN-UPB/ml-for-resource-allocation
Machine Learning for Dynamic Resource Allocation in Network Function Virtualization
codeforcauseorg/causefolio
For the community, by the community.
vikash-kumar01/Kubernetes_Project
Souravdey777/flexbox-guide
⚡ A Guide for the concept of Flexbox and responsive design. Simply set the attributes as you needed and copy the CSS code. 🎉
CN-UPB/B-JointSP
Joint placement and scaling of bidirectional network services with stateful virtual or physical network functions
debnsuma/GettingStartedAWS-2021
Bunch of small demos
Charansiddu/chat-bot
ashu-cybertron/face-recognition-mobilenet-vgg16
sahanabalappa/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks