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dev's Classic Expository Style pass over the websites is the base; re-applied from this branch only where a fact was missing or wrong: real volume titles and status, no stale counts or timing claims, the four-volume teaching guide and slide pages. Lecture lists regenerated by tools/lectures.py; the PPTX note appears on all four volume pages.
112 lines
5.3 KiB
Plaintext
112 lines
5.3 KiB
Plaintext
---
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title: "Community Ecosystem"
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---
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<iframe src="community/community.html" width="100%" height="600px" title="TinyTorch community map" style="border: 1px solid #eee; border-radius: 8px; margin-bottom: 20px;"></iframe>
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**The TinyTorch Globe.** Create an account and join the global community to track your progress and connect with other builders.
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**Learn together, build together, grow together.**
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TinyTorch is more than a course. It is a growing community of students, educators, and ML engineers learning systems engineering from first principles.
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## Community Dashboard (Available Now)
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Join the global TinyTorch community and see your progress:
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1. **Create a community account** to connect your profile with other builders.
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2. **Build and complete modules** with `tito module start` and `tito module complete`.
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3. **Review your progress** in the dashboard and run the milestones your modules unlock.
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4. **Choose what to share** when joining the community.
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## How to Join the TinyTorch Community:
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There are two primary ways to join and engage with the TinyTorch community:
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### Option 1: Explore the Live Dashboard
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You can explore the interactive TinyTorch Community Dashboard directly in your browser:
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```{=html}
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<p align="center">
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<a href="community/community.html" target="_blank" class="btn btn-primary btn-lg" style="background-color: #ff6600; color: white; padding: 15px 30px; text-align: center; text-decoration: none; display: inline-block; font-size: 20px; margin: 10px 2px; cursor: pointer; border-radius: 8px; border: none;">
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Explore Dashboard <span class="badge badge-light"></span>
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</a>
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</p>
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```
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### Option 2: Join via TinyTorch CLI
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Download the TinyTorch CLI to set up your environment, manage your profile, and contribute to community statistics directly from your terminal.
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```bash
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# First-time setup (creates your local profile; does not join the community)
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tito setup
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# Or, if already set up, log in
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tito community login
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# View your profile
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tito community profile
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# Check your community status
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tito community status
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# Open the community map
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tito community map
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```
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**Features:**
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- **Optional profile** - `tito setup` asks for your name, email, and affiliation; every field can be left at its default
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- **Progress tracking** - Automatic milestone and module completion tracking
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- **Local by default** - Your profile is written to `~/.tinytorch/profile.json`, and module progress to `.tito/` in the project
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- **You choose what syncs** - Nothing is uploaded until you log in with `tito community login`. Login shows exactly what a sync sends and asks whether later syncs may run automatically
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**Privacy.** The local profile at `~/.tinytorch/profile.json` stores the name, email, and affiliation you enter; all three are optional and default to placeholder values. A sync uploads to the TinyTorch website (tinytorch.netlify.app, backed by Supabase): your account email, used as your user ID; which modules you completed and when; which milestones you unlocked or completed and when; your completion percentage; and your current streak. It never uploads code, notebooks, or test output. When you log in, `tito` shows this list and asks whether it may sync automatically after you complete a module or milestone (logging in from a terminal that cannot prompt counts as yes). If you agree, or later run `tito community sync --enable-auto`, it syncs after each completion without asking. If you decline, or run `tito community sync --disable-auto`, it never syncs on its own and stops asking. If no choice is saved on this machine, `tito` asks after each completion in a terminal and uploads nothing when it cannot ask. Setting `TITO_NO_SYNC=1` turns automatic sync off entirely. `tito community sync` always uploads on demand.
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## Check Your Environment Speed
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```bash
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tito benchmark baseline # times plain NumPy on this machine
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```
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`tito benchmark baseline` times a few NumPy operations (elementwise ops and a matrix multiply on 100×100 arrays, and a two-layer forward pass) and reports each time and their geometric mean. It checks your environment, not your TinyTorch code, and gives no score. Results are saved locally under `.tito/benchmarks/`; nothing is uploaded, and there is no community leaderboard.
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`tito benchmark capstone` is reserved for measuring your Module 20 model but is not implemented yet: it reports an error, saves nothing, and points you to Module 19's `Benchmark` class, which you can run on your model directly.
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See [TITO CLI Reference](tito/commands.qmd) for complete command documentation.
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## For Educators
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Teaching TinyTorch in your classroom?
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See [For Instructors](instructors.qmd) for assignment tiers, nbgrader grading, and when to give students the book.
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## Recognition & Showcase
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Built something impressive with TinyTorch?
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**Share it with the community:**
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- Post in [GitHub Discussions](https://github.com/harvard-edge/cs249r_book/discussions) under "Show and Tell"
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- Tag us on social media with #TinyTorch
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**Exceptional projects may be featured:**
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- On the TinyTorch website
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- In course examples
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- As reference implementations
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## Stay Updated
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**GitHub Watch**: [Enable notifications](https://github.com/harvard-edge/cs249r_book) for releases and updates
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**Follow Development**: Check [GitHub Issues](https://github.com/harvard-edge/cs249r_book/issues) for roadmap and upcoming features
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