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161 lines
4.9 KiB
Markdown
161 lines
4.9 KiB
Markdown
# Community Ecosystem
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**Learn together, build together, grow together.**
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TinyTorch is more than a course—it's a growing community of students, educators, and ML engineers learning systems engineering from first principles.
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---
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## Connect Now
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### GitHub Discussions (Available Now ✅)
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Join conversations with other TinyTorch builders:
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**[Visit GitHub Discussions](https://github.com/harvard-edge/TinyTorch/discussions)**
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- **Ask questions** about implementations and debugging
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- **Share your projects** and milestone achievements
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- **Help others** with systems thinking questions
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- **Discuss ML systems** engineering and production practices
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**Active discussion categories:**
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- Module implementations and debugging
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- Systems performance optimization
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- Career advice for ML engineers
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- Show and tell: Your TinyTorch projects
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**Why community matters for TinyTorch:** Unlike watching lectures, building ML systems requires debugging, experimentation, and iteration. The community helps you debug faster, learn trade-offs, stay motivated, and build systems intuition through discussion.
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### GitHub Repository (Available Now ✅)
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Star, fork, and contribute to TinyTorch:
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**[Visit GitHub Repository](https://github.com/harvard-edge/TinyTorch)**
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- **Report issues** and bugs
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- **Contribute fixes** and improvements
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- **Improve documentation** and examples
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- **Watch releases** for new features
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### Share Your Progress (Available Now ✅)
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Help others discover TinyTorch:
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- **Twitter/X**: Share your learning journey with #TinyTorch
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- **LinkedIn**: Post about building ML systems from scratch
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- **Reddit**: Share in r/MachineLearning, r/learnmachinelearning
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- **Blog**: Write about your implementations and insights
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---
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## Coming Soon
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We're building additional community features to enhance your learning experience:
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### Discord Server (In Development)
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Real-time chat and study groups:
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- Live Q&A channels for debugging
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- Tier-based study groups
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- Office hours with educators
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- Project showcase channels
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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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```bash
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# Join the community
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tito community join
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# View your profile
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tito community profile
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# Update your progress
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tito community update
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# View community statistics
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tito community stats
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```
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**Features:**
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- **Anonymous profiles** - Join with optional information (country, institution, course type)
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- **Cohort identification** - See your cohort (Fall 2024, Spring 2025, etc.)
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- **Progress tracking** - Automatic milestone and module completion tracking
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- **Privacy-first** - All data stored locally in `.tinytorch/` directory
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- **Opt-in sharing** - You control what information to share
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**Privacy:** All fields are optional. We use anonymous UUIDs (no personal names). Data is stored locally in your project directory. See [Privacy Policy](../docs/PRIVACY_DATA_RETENTION.md) for details.
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### Benchmark & Performance Tracking (Available Now ✅)
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Validate your setup and track performance improvements:
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```bash
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# Quick setup validation (after initial setup)
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tito benchmark baseline
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# Full capstone benchmarks (after Module 20)
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tito benchmark capstone
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# Submit results to community (optional)
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# Prompts automatically after benchmarks complete
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```
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**Baseline Benchmark:**
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- Validates your setup is working correctly
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- Quick "Hello World" moment after setup
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- Tests: tensor operations, matrix multiply, forward pass
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- Generates score (0-100) and saves results locally
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**Capstone Benchmark:**
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- Full performance evaluation after Module 20
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- Tracks: speed, compression, accuracy, efficiency
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- Uses Module 19's Benchmark harness for statistical rigor
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- Generates comprehensive results for submission
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**Submission:** After benchmarks complete, you'll be prompted to submit results (optional). Submissions are saved locally and can be shared with the community.
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See [TITO CLI Reference](tito/overview.md) for complete command documentation.
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---
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## For Educators
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Teaching TinyTorch in your classroom?
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**[See Getting Started - For Instructors](getting-started.html#instructors)** for:
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- Complete 30-minute instructor setup
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- NBGrader integration and grading workflows
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- Assignment generation and distribution
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- Student progress tracking and classroom management
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---
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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/TinyTorch/discussions) under "Show and Tell"
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- Tag us on social media with #TinyTorch
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- Submit your project for community showcase (coming soon)
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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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---
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## Stay Updated
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**GitHub Watch**: [Enable notifications](https://github.com/harvard-edge/TinyTorch) for releases and updates
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**Follow Development**: Check [GitHub Issues](https://github.com/harvard-edge/TinyTorch/issues) for roadmap and upcoming features
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---
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**Build ML systems. Learn together. Grow the community.**
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