TinyTorch/site/community.md

Community Ecosystem

Learn together, build together, grow together.

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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Connect Now

GitHub Discussions (Available Now ✅)

Join conversations with other TinyTorch builders:

Visit GitHub Discussions

• Ask questions about implementations and debugging
• Share your projects and milestone achievements
• Help others with systems thinking questions
• Discuss ML systems engineering and production practices

Active discussion categories:

• Module implementations and debugging
• Systems performance optimization
• Career advice for ML engineers
• Show and tell: Your TinyTorch projects

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.

GitHub Repository (Available Now ✅)

Star, fork, and contribute to TinyTorch:

Visit GitHub Repository

• Report issues and bugs
• Contribute fixes and improvements
• Improve documentation and examples
• Watch releases for new features

Share Your Progress (Available Now ✅)

Help others discover TinyTorch:

• Twitter/X: Share your learning journey with #TinyTorch
• LinkedIn: Post about building ML systems from scratch
• Reddit: Share in r/MachineLearning, r/learnmachinelearning
• Blog: Write about your implementations and insights

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Coming Soon

We're building additional community features to enhance your learning experience:

Discord Server (In Development)

Real-time chat and study groups:

• Live Q&A channels for debugging
• Tier-based study groups
• Office hours with educators
• Project showcase channels

Community Dashboard (Available Now ✅)

Join the global TinyTorch community and see your progress:

# Join the community
tito community join

# View your profile
tito community profile

# Update your progress
tito community update

# View community statistics
tito community stats

Features:

• Anonymous profiles - Join with optional information (country, institution, course type)
• Cohort identification - See your cohort (Fall 2024, Spring 2025, etc.)
• Progress tracking - Automatic milestone and module completion tracking
• Privacy-first - All data stored locally in .tinytorch/ directory
• Opt-in sharing - You control what information to share

Privacy: All fields are optional. We use anonymous UUIDs (no personal names). Data is stored locally in your project directory. See Privacy Policy for details.

Benchmark & Performance Tracking (Available Now ✅)

Validate your setup and track performance improvements:

# Quick setup validation (after initial setup)
tito benchmark baseline

# Full capstone benchmarks (after Module 20)
tito benchmark capstone

# Submit results to community (optional)
# Prompts automatically after benchmarks complete

Baseline Benchmark:

• Validates your setup is working correctly
• Quick "Hello World" moment after setup
• Tests: tensor operations, matrix multiply, forward pass
• Generates score (0-100) and saves results locally

Capstone Benchmark:

• Full performance evaluation after Module 20
• Tracks: speed, compression, accuracy, efficiency
• Uses Module 19's Benchmark harness for statistical rigor
• Generates comprehensive results for submission

Submission: After benchmarks complete, you'll be prompted to submit results (optional). Submissions are saved locally and can be shared with the community.

See TITO CLI Reference for complete command documentation.

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For Educators

Teaching TinyTorch in your classroom?

See Getting Started - For Instructors for:

• Complete 30-minute instructor setup
• NBGrader integration and grading workflows
• Assignment generation and distribution
• Student progress tracking and classroom management

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Recognition & Showcase

Built something impressive with TinyTorch?

Share it with the community:

• Post in GitHub Discussions under "Show and Tell"
• Tag us on social media with #TinyTorch
• Submit your project for community showcase (coming soon)

Exceptional projects may be featured:

• On the TinyTorch website
• In course examples
• As reference implementations

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Stay Updated

GitHub Watch: Enable notifications for releases and updates

Follow Development: Check GitHub Issues for roadmap and upcoming features

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Build ML systems. Learn together. Grow the community.