afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 2 contributors on GitHub.
Gained 50% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides comprehensive cheatsheets summarizing key concepts from Stanford's CS 229 Machine Learning course.
- Consolidates essential machine learning topics and refreshers into concise, easy-to-reference PDFs and a single super cheatsheet.
- Use for quick revision of supervised and unsupervised learning concepts during machine learning coursework or study.
- Use for brushing up on prerequisite math topics like probabilities, statistics, algebra, and calculus before advanced ML projects.
- Use for accessing machine learning tips and tricks to improve model training and performance in practical applications.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
- Warning: No commits in over a year (last push May 2020).
- Owned by an individual account with only 2 contributors on GitHub; plan for bus-factor risk.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
This material is also available on a dedicated website, so that you can enjoy reading it from any device.
Would you like to see these cheatsheets in your native language? You can help us translating them on this dedicated repo!
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
4.3K+27
Open issues
21+1
Compared with peers in Deep Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | 78.3K | +1.6K | 75 | 1 day ago |
| SYSTRAN/faster-whisper | 26.5K | — | 40 | 368 days ago |
| afshinea/stanford-cs-229-machine-learning | 20.4K | — | 6 | — |
| GeeeekExplorer/nano-vllm | 16.3K | — | 12 | — |
| Lightning-AI/litgpt | 13.8K | — | 58 | 129 days ago |
| data-privacy-stack/presidio | 11.8K | — | 64 | 10 days ago |
| Category median | 16.3K | — | 58 | — |
Discover Repositories
Search across tracked repositories by name or description