Community Ecosystem

See yourself on the TinyTorch Globe! Create an account and join the global community to track your progress and connect with other builders.

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.

Community Dashboard (Available Now )

Join the global TinyTorch community and see your progress:

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:alt: TinyTorch User Journey
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How to Join the TinyTorch Community:

There are two primary ways to join and engage with the TinyTorch community:

Option 1: Explore the Live Dashboard

You can explore the interactive TinyTorch Community Dashboard directly in your browser:

<p align="center"> <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;"> Explore Dashboard <span class="badge badge-light"></span> </a> </p>

Option 2: Join via TinyTorch CLI

Download the TinyTorch CLI to set up your environment, manage your profile, and contribute to community statistics directly from your terminal.

bash

# Join the community (first-time setup)
tito setup

# Or, if already set up, log in
tito community login

# View your profile
tito community profile

# Check your community status
tito community status

# Open the community map
tito community map

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.

Connect Now

Validate your setup and track performance improvements:

bash

# 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.

For Educators

Teaching TinyTorch in your classroom?

See the Getting Started guide for:

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

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

Stay Updated

GitHub Watch: Enable notifications for releases and updates

Follow Development: Check GitHub Issues for roadmap and upcoming features

Build ML systems. Learn together. Grow the community.