docker-curriculum
analisis-numerico-computo-cientifico
| docker-curriculum | analisis-numerico-computo-cientifico | |
|---|---|---|
| 2 | 1 | |
| 5,452 | 44 | |
| - | - | |
| 2.4 | 0.0 | |
| 9 days ago | over 1 year ago | |
| SCSS | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
docker-curriculum
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What is Docker ?
Docker Curriculum: A comprehensive tutorial for getting started with Docker. Teaches how to use Docker and deploy dockerized apps on AWS with Elastic Beanstalk and Elastic Container Service.
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Git clone blocked by antivirus
probably because of this: https://github.com/prakhar1989/docker-curriculum/issues/274
analisis-numerico-computo-cientifico
What are some alternatives?
compose-spec - The Compose specification
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.
service-fabric - Service Fabric is a distributed systems platform for packaging, deploying, and managing stateless and stateful distributed applications and containers at large scale.
DeepLearning - Contains all my works, references for deep learning
awesome-runners - A curated list of awesome self-hosted GitHub Action runners in a large comparison matrix
vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
awesome-docker - :whale: A curated list of Docker resources and projects
Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.
aws-microservices-deploy-options - This repo contains a simple application that consists of three microservices. Each application is deployed using different Compute options on AWS.
laser - The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
learn-docker - 🚢 Learn how to use docker.io containers to consistently deploy your apps on any infrastructure.
cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."