ColossalAI VS pavilion2

Compare ColossalAI vs pavilion2 and see what are their differences.

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ColossalAI pavilion2
42 1
37,836 41
3.7% -
9.7 7.1
1 day ago 7 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

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 2024-04-22.

pavilion2

Posts with mentions or reviews of pavilion2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-14.
  • Node Health Check for HPC clusters?
    2 projects | /r/HPC | 14 Apr 2021
    And that's not all; it's also being used in concert with Pavilion2 (i.e., https://github.com/hpc/pavilion2), our extensive software test/validation suite written by our Programming & Runtime Environments (PRE) Team.  We've even begun to use it for compliance and audit tasks!

What are some alternatives?

When comparing ColossalAI and pavilion2 you can also consider the following projects:

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

prometeo - An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing

Megatron-LM - Ongoing research training transformer models at scale

spack - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

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.

udocker - A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.

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

nhc - LBNL Node Health Check

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

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)

ivy - The Unified AI Framework

DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.