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Distribution Policy
Deep Learning Protocol
Effective Date: December 18, 2025
License: MIT
This document outlines how the Deep Learning Protocol project may be distributed, shared, and used.
The Deep Learning Protocol is released under the MIT License, which permits:
✅ Permitted Uses
- Commercial use
- Modification
- Distribution
- Private use
- Sublicensing
❌ Restrictions
- Liability — No warranty provided
- No trademark rights
- No patent claims waived
License Text: See LICENSE file for complete legal text.
Official Repository:
https://github.com/quickattach0-tech/DeepLearningProtocol
Distribution Rights:
- Clone for personal use ✅
- Fork for modifications ✅
- Distribute forks with attribution ✅
Requirements:
- Include LICENSE file
- Include ATTRIBUTION.md (if modified)
- Link back to original repo (recommended)
Package Name: DeepLearningProtocol
Distribution Through:
- NuGet.org (official package source)
- Package managers (when available)
Installation:
dotnet add package DeepLearningProtocolTerms:
- Same MIT License applies
- Version history maintained
- Automatic updates available
Image Name: quickattach0-tech/deeplearningprotocol
Distribution Through:
- Docker Hub
- GitHub Container Registry
Usage:
docker pull quickattach0-tech/deeplearningprotocol:latest
docker run deeplearningprotocol:latestSource Code Distributions:
- Releases on GitHub (zip, tar.gz)
- Built binaries (when available)
- Documentation packages
No License Fee Required ✅
Permitted:
- Teaching computer science
- Academic research
- University courses
- Student projects
- Learning materials
- Educational papers
No permission required — Just include attribution and LICENSE.
Permitted:
- Incorporate into products
- Commercial applications
- SaaS platforms
- Enterprise software
- Consulting services
No permission required — Just include LICENSE.
Permitted:
- Include in open source projects
- Derivative open source works
- Public contributions
Requirements:
- Maintain MIT License
- Include license notice
- Credit original author
Permitted:
- Internal company tools
- Private applications
- Proprietary systems
- Closed-source projects
Requirements:
- Include LICENSE in distribution
- No public distribution restrictions
Permitted:
- Create derivatives
- Custom extensions
- Feature additions
- Language adaptations
Requirements:
- Document changes
- Include original LICENSE
- Update attribution
- Consider contributing back
✅ Always Include:
- LICENSE file — Original MIT License text
- Copyright notice — "Copyright (c) 2025 quickattach0-tech"
- ATTRIBUTION.md — If significantly modified
Minimal Attribution:
This project includes code from Deep Learning Protocol
(https://github.com/quickattach0-tech/DeepLearningProtocol)
licensed under the MIT License.❌ Never Do:
- Remove license files — Keep LICENSE intact
- Claim original authorship — Give proper credit
- Imply warranty — State code provided "as-is"
- Register trademark — Can't trademark "Deep Learning Protocol" name
- Sublicense with restrictions — Must keep MIT terms
Trademark: "Deep Learning Protocol" name
Rules:
- ❌ Can't use in product name
- ✅ Can use in attribution
- ✅ Can mention in documentation
⚠️ Use fairly and accurately
Acceptable:
- "Based on Deep Learning Protocol"
- "Uses Deep Learning Protocol architecture"
- "Inspired by Deep Learning Protocol research"
Not Acceptable:
- "Deep Learning Protocol Pro" (implies endorsement)
- "Our Deep Learning Protocol" (implies ownership)
- Logo use without permission
Permitted:
✅ Use code in your product
✅ Sell the product commercially
✅ Use in paid services (SaaS)
✅ Include in enterprise softwareRequirements:
✅ Include LICENSE file
✅ Include copyright notice
✅ Include list of changes (if modified)
✅ Link to original repository (recommended)Permitted:
- Distribute as open source ✅
- Distribute modified version ✅
- Include in software packages ✅
Restrictions:
- Must maintain MIT License ❌
- Cannot change licensing terms ❌
- Must include original LICENSE ❌
Important:
MIT License Clause:
"THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND..."
Implications:
| Scenario | Your Responsibility |
|---|---|
| Bug found | Inform upstream if possible |
| Security issue | Report to maintainers |
| Warranty claims | Not covered by MIT |
| Support requests | Your responsibility if distributing |
Permitted:
- Use in courses
- Modify for education
- Distribute to students
- Publish in academic papers
- Reference in research
No Special Permission Needed
Permitted:
- Cite in papers
- Use code in research
- Publish derivatives
- Submit to venues
Requirements:
- Include citation (see Section 9)
- Acknowledge MIT License
- Share modifications if possible
Permitted:
- Use for benchmarking
- Include in datasets
- Compare performance
- Publish comparisons
Requirements:
- Cite original repository
- Include results accurately
- No misrepresentation
Repository: https://github.com/quickattach0-tech/DeepLearningProtocol
How to Distribute:
# Clone
git clone https://github.com/quickattach0-tech/DeepLearningProtocol.git
# Fork for modifications
# (Fork button on GitHub)
# Push your version
git push origin your-forkConsiderations:
- Always maintain LICENSE
- Reference original repo
- Consider contributing back
Installation:
dotnet add package DeepLearningProtocolDistribution:
- Automatic via package manager
- Version management built-in
- License automatically included
Permitted:
✅ Fork and create own repo
✅ Distribute on your platform
✅ Sell if incorporated in product
Requirements:
✅ Keep LICENSE file
✅ Document changes
✅ Link back to original (recommended)
Permitted To Use In:
- npm (if JavaScript version)
- PyPI (if Python version)
- Maven (if Java version)
- RubyGems
- CocoaPods
Requirements:
- Include LICENSE in package
- Accurate metadata
- Link to original
BibTeX Format:
@software{DeepLearningProtocol2025,
author = {quickattach0-tech},
title = {Deep Learning Protocol},
year = {2025},
url = {https://github.com/quickattach0-tech/DeepLearningProtocol},
license = {MIT}
}APA Format:
quickattach0-tech. (2025). Deep Learning Protocol [Software].
Retrieved from https://github.com/quickattach0-tech/DeepLearningProtocol
Chicago Format:
quickattach0-tech. "Deep Learning Protocol." GitHub. Accessed [date].
https://github.com/quickattach0-tech/DeepLearningProtocol
Minimum (In Documentation):
This project uses [Deep Learning Protocol](https://github.com/quickattach0-tech/DeepLearningProtocol)
licensed under the MIT License.In Code Comments:
// Based on Deep Learning Protocol
// https://github.com/quickattach0-tech/DeepLearningProtocol
// Licensed under MIT LicenseIf you create significant derivatives:
# Attribution
## Deep Learning Protocol
This project includes or is derived from code from:
**Deep Learning Protocol**
- Repository: https://github.com/quickattach0-tech/DeepLearningProtocol
- License: MIT
- Copyright: 2025 quickattach0-tech
- Changes: [List modifications you made]
Original MIT License is included in LICENSE file.Acceptable:
- "Based on Deep Learning Protocol"
- "Uses Deep Learning Protocol library"
- "Inspired by Deep Learning Protocol"
- "Adapted from Deep Learning Protocol"
Not Acceptable:
- "Deep Learning Protocol Enhanced" (misleading)
- "Rebranded Deep Learning Protocol" (misleading)
- Using logo as your logo
- Implying official endorsement
Permitted:
- Include in attribution
- Link in references
- Show in "built with" section
Not Permitted:
- Modify without permission
- Use in product name
- Register as your trademark
- Use to imply endorsement
MIT License does NOT grant patent rights.
Any patents held by original author are not licensed.
You Own:
- Your modifications and extensions
- Your derivative works
- Your implementations
Constraints:
- Original parts must stay MIT
- Can't change license of original
- Must include original LICENSE
If You Create Derivative:
Option A: Keep MIT License
→ Free, open source, no restrictions
Option B: Dual License (MIT + Your License)
→ Users can choose either license
→ Allows both open and proprietary use
Option C: Proprietary License
→ Only for your modifications
→ Original code must stay MIT licensed
No Special Requirements for:
- Most countries
- Most use cases
- Academic distribution
Possible Restrictions for:
- Countries under US sanctions (if applicable)
- Military/weapons applications
- Export controls on encryption (if applicable)
If Processing Personal Data:
- Follow GDPR if EU users
- Follow local privacy laws
- Include privacy policy
- Implement data protection
Note: Protocol itself doesn't process personal data by default.
Permitted:
- Translate documentation
- Localize for different regions
- Adapt for different languages
- Cultural adaptations
Requirements:
- Maintain MIT License
- Document translation changes
- Include original attribution
Permitted:
- Consulting based on protocol
- Custom implementation services
- Training and education
- Integration services
Model:
Deep Learning Protocol (Free, MIT)
↓
Your Services (Paid)
↓
Customer Value (Success)
Permitted:
- Host as SaaS
- Offer via subscription
- Cloud-based version
- Managed service
Requirements:
- Include LICENSE in terms
- Link to original (recommended)
- Document modifications
Permitted:
- Offer paid support
- Provide SLAs
- Premium features on top
- Training courses
Model:
Open Source (Free)
+ Premium Support (Paid)
= Sustainable Business
Permitted:
- Bundle with your software
- Include in product suite
- Combine with other projects
- Sell as package
Requirements:
- Include LICENSE
- Include attribution
- Maintain all licenses
❌ Remove or obscure license
❌ Change license terms
❌ Claim authorship
❌ Imply warranty/support not provided
❌ Sublicense with restrictions
❌ Register as trademark
❌ Hide modifications
❌ "Our original work"
❌ "Officially endorsed"
❌ "Supported by original authors"
❌ Changing significant behavior without documenting
❌ Selling as completely different project
❌ Implying features not present
❌ Weapons development
❌ Malware/malicious use
❌ Espionage
❌ Unauthorized surveillance
❌ Discrimination systems
❌ Illegal activities
Use this checklist to ensure compliance:
- License Included — MIT License file present
- Attribution Clear — Credit given to original
- Changes Documented — Modifications listed
- No Trademark Claim — Not claiming "Deep Learning Protocol" brand
- Terms Accurate — Not misrepresenting functionality
- Warranty Clear — Not implying support/warranty not provided
- Links Present — Link to original repo (recommended)
- No Restrictions Added — Haven't added restrictions to MIT code
- License Includes Permission — For commercial use ✅
- Liability Understood — Software "as-is" ✅
- Support Plan Clear — Know who provides support
- Legal Review Done — Verify with legal if needed
- Contracts Clear — Customer knows terms
- License Displayed — Students see MIT License
- Attribution Clear — Credit to original
- Repository Known — Students know where to find original
- Fair Use — Not claiming as original work
Your Product: MyLearningApp (paid software)
✅ Include LICENSE file in distribution
✅ In Help → About: "Uses Deep Learning Protocol"
✅ Include link: https://github.com/quickattach0-tech/DeepLearningProtocol
✅ In terms: "Includes MIT-licensed components"
✅ Document your modifications
✅ Charge for YOUR product, not for the protocol
Result: COMPLIANT ✅
Your Paper: "Adaptive Learning Systems" (published)
✅ Cite in References
✅ Note MIT License
✅ Provide repository link
✅ Describe how you used/modified it
✅ Share code if possible
✅ Include LICENSE with code samples
Result: COMPLIANT ✅
Your Project: MyExtendedProtocol (GitHub)
✅ Include LICENSE (same MIT)
✅ Attribute original in README
✅ Link to original
✅ Document all changes
✅ Keep open source
✅ Allow others to build on it
Result: COMPLIANT ✅
Your Product: "Deep Learning Protocol Pro"
❌ Removes MIT License
❌ Claims original authorship
❌ Doesn't credit original
❌ Implies endorsement
❌ Restricts redistribution
❌ Makes it seem like your invention
Result: NOT COMPLIANT ❌
...use commercially? ✅
Yes, MIT License permits commercial use. Just include LICENSE.
...modify the code? ✅
Yes, MIT License permits modifications. Document changes.
...distribute my version? ✅
Yes, but maintain MIT License and credit original.
...use in closed-source project? ✅
Yes, just include LICENSE in distribution/documentation.
...remove attribution? ❌
No, you must include original LICENSE and copyright.
...add my own license on top? ✅
Yes (dual licensing), but original code stays MIT.
...claim it as my work? ❌
No, give proper attribution.
...sell it? ✅
Yes, as part of your product/service. No license fee needed.
Questions about distribution:
- Open GitHub Issue with
distribution-policylabel - Discussion: https://github.com/quickattach0-tech/DeepLearningProtocol/discussions
- Review this document and LICENSE file
Legal concerns:
- Consult with your legal team
- Reference MIT License terms
- Contact original author if needed
- Initial distribution policy
- MIT License clarification
- Commercial use guidelines
- International distribution
- Compliance checklist
Effective Date: December 18, 2025
Updates:
- Policy may be updated by original author
- Updates will be posted in this file
- Changes apply to future distributions
- Current license terms always honored
Questions? See CONTRIBUTING.md or open an issue.
TL;DR:
| Use | Permitted | Conditions |
|---|---|---|
| Commercial | ✅ Yes | Include LICENSE |
| Education | ✅ Yes | Include LICENSE |
| Open Source | ✅ Yes | Keep MIT License |
| Modification | ✅ Yes | Document changes |
| Redistribution | ✅ Yes | Include LICENSE |
| Use in Product | ✅ Yes | Include LICENSE |
| Remove License | ❌ No | Must include |
| Claim Ownership | ❌ No | Give attribution |
| Add Restrictions | ❌ No | Keep MIT terms |
Remember: When in doubt, include the LICENSE file and credit the original authors.
For Legal Text: See LICENSE
For Contributing: See CONTRIBUTING.md
For Attribution: See ATTRIBUTION.md (if present)
License: This Distribution Policy document is licensed under CC-BY-4.0