aim VS nvidia-gpu-scheduler

Compare aim vs nvidia-gpu-scheduler and see what are their differences.

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aim nvidia-gpu-scheduler
70 1
4,711 7
3.9% -
7.9 0.0
1 day ago over 1 year ago
Python Python
Apache License 2.0 MIT License
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.

aim

Posts with mentions or reviews of aim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-05.

nvidia-gpu-scheduler

Posts with mentions or reviews of nvidia-gpu-scheduler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-25.
  • [D] How to be more productive while doing Deep Learning experiments?
    10 projects | /r/MachineLearning | 25 Feb 2021
    Sure. No, a simple bash script is not enough. In my case, we have several machines shared in the department, some with GPUs, some without. What I have is a python script that gets a list of jobs and then it schedule them in the first available machine (according to memory/CPU/GPU availability). Unfortunately, what I have is really entangled with our computing platform (Docker-based with a shared filesystem) and not really easy to have it as standalone project (that's why I said "know you infrastructure"). The most similar thing that I could find online is this project. I believe there are then some HPC tools that could be useful (e.g. Slurm), but that's way too much for what we need.

What are some alternatives?

When comparing aim and nvidia-gpu-scheduler you can also consider the following projects:

tensorboard - TensorFlow's Visualization Toolkit

dvc - 🦉 ML Experiments and Data Management with Git

guildai - Experiment tracking, ML developer tools

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

keepsake - Version control for machine learning

langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]

fastapi-cloud-tasks - GCP's Cloud Tasks + Cloud Scheduler + FastAPI = Partial replacement for celery.