Explore/framework/Machine-Learning-Interviews
M

alirezadir/Machine-Learning-InterviewsActive

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

frameworkJupyter NotebookMIT
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OverviewActivity52wAlternativesDocs
Stars9.8k
Forks1.7k
HF Downloads—30d
Last commit6d ago
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Project healthActiveLast commit 6d ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesMITVerify license before production use.
AgentHub Score
87 / 100
Composite score from 6 signals. How we score →
Active project
87Score
Growth
98A+
Activity
90A
Documentation
50C
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 79 days observed9.8k +1.67% / 30d
snapshots
Repository activity · 79 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-10-14
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguageJupyter Notebook
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use—
Docs—
Demo—
Paper—

AgentHub Score

87
Score 87/100
Top performer

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