Sacred VS nvidia-gpu-scheduler

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

Sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. (by IDSIA)
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Sacred nvidia-gpu-scheduler
6 1
4,155 7
0.4% -
3.5 0.0
2 months ago over 1 year ago
Python Python
MIT License 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.
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Sacred

Posts with mentions or reviews of Sacred. 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 Sacred and nvidia-gpu-scheduler you can also consider the following projects:

MLflow - Open source platform for the machine learning lifecycle

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

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]

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

tensorflow - An Open Source Machine Learning Framework for Everyone

stable-diffusion-nvidia-docker - GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.

Keras - Deep Learning for humans

scikit-learn - scikit-learn: machine learning in Python

tmux - tmux source code

Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement

aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.