nvidia-gpu-scheduler VS coddx-alpha

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

coddx-alpha

Todo Kanban Board manages tasks and save them as TODO.md - a simple plain text file. (by coddx-hq)
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nvidia-gpu-scheduler coddx-alpha
1 2
7 198
- 0.5%
0.0 0.0
over 1 year ago over 1 year ago
Python TypeScript
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.
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.

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.

coddx-alpha

Posts with mentions or reviews of coddx-alpha. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-25.

What are some alternatives?

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

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

todo.md - TODO.md file format - todomd.org

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

TaskBoard - A Kanban-inspired app for keeping track of things that need to get done. (Don't forget to read the Wiki page!)

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

vscode-highlight - Advanced text highlighter based on regexes. Useful for todos, annotations etc.

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]

tmux - tmux source code

obsidian-toggle-list - This is a simple plugin for Obsidian to overwrite the default behavior of toggle checkbox status. Also, it offers a simple way to toggle through frequently used attributes: task states, task tags, highlighted list, etc.

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

Kolan - A collaborative Kanban manager with nested boards