devops-exercises VS ColossalAI

Compare devops-exercises vs ColossalAI and see what are their differences.

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions (by bregman-arie)
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devops-exercises ColossalAI
37 41
63,178 37,775
- 3.5%
7.3 9.7
23 days ago 4 days ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

devops-exercises

Posts with mentions or reviews of devops-exercises. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-23.

ColossalAI

Posts with mentions or reviews of ColossalAI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-19.

What are some alternatives?

When comparing devops-exercises and ColossalAI you can also consider the following projects:

homelab - Modern self-hosting framework, fully automated from empty disk to operating services with a single command.

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.

Megatron-LM - Ongoing research training transformer models at scale

prom2teams - prom2teams is an HTTP server built with Python that receives alert notifications from a previously configured Prometheus Alertmanager instance and forwards it to Microsoft Teams using defined connectors

determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

DevOps-The-Hard-Way-AWS - This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS

fairscale - PyTorch extensions for high performance and large scale training.

commitizen - Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:

DeepFaceLive - Real-time face swap for PC streaming or video calls

developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)