mryab / efficient-dl-systems
Efficient Deep Learning Systems course materials
Why this job: says: course materials
What it does
This repository contains materials for the Efficient Deep Learning Systems course, taught at the Faculty of Computer Science of HSE University and Yandex School of Data Analysis.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 1,052
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 93% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 1 still open
- Pull requests
- 35 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 93%
- Python 7%
- Dockerfile <1%
- Shell <1%
Topics
- deep-learning
- efficient-deep-learning
- pytorch
- cuda
- distributed-training
- machine-learning
- ml-infrastructure
- mlops
- inference-optimization
- ml-systems
- performance-optimization
Project record
- JobLists and guides
- StatusListed
- Commits215
- Forks154
- Watching12
- Stars in 28 days+10
- CreatedDec 6, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026