TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
Why this job: says: rag; topics: rag
What it does
Build a profiler that measures what any piece of Python really costs in time and memory, rank four implementations of one task on the numbers, and reproduce the compute-tier check every lesson here has to pass.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 4,025
- +4 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest tag
- 2026-w46
- Released today
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 0% closed
- 15 still open
- Pull requests
- 3 merged
- 0 waiting
- Releases
- 16
- 15 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics, project record and preview image
Languages
- Python 99%
- C 1%
- C++ <1%
- Makefile <1%
Topics
- ai-agents
- ai-governance
- artificial-intelligence
- autograding
- deep-learning
- document-ai
- eu-ai-act
- google-colab
- humanoid-robotics
- jupyter-notebook
- machine-learning
- mlops
Project record
- JobRAG and search
- StatusListed
- Commits48
- Forks1,618
- Watching297
- Stars in 28 days+19
- CreatedJul 13, 2017
- First seen by usNov 7, 2026
- CheckedNov 9, 2026