Welcome to Aqwam’s DataPredict Neural Library!

By using or possessing any copies of this library or its assets (including the icons), you agree to our Terms and Conditions. In short:

Public attribution is required when using this library.
A separate agreement is needed for commercial use (both internally and externally). This applies to companies (or individuals, if none) whose combined revenue (including from subsidiaries or related entities) exceeds $3,000 within 365 days (not per 365 days) or those engaged in business-to-business activities.
If you or your company is applicable to the above statement and do not want a separate agreement, then you are required to follow the “Commercial Use Conditions” in Terms And Conditions.
Plus some more stuff…

For information regarding potential license violations and eligibility for a bounty reward, please refer to the Terms and Conditions Violation Bounty Reward Information.

DataPredictNeuralIconSmall

Version	Current Version Number
Release	1.10
Beta	1.6.0

DataPredict Neural is an advanced deep learning library for Roblox and Pure Lua.

This project is created to address the lack of deep learning features and inflexibility of the API design from the DataPredict library.

If there are any suggestions or issues for this library, don’t be afraid to reach out to me at my Discord server, DevForum thread or my LinkedIn.

In addition, if you are interested in Roblox tutorials and future projects by me, then you can subscribe to me in YouTube.

Features

Take advantage of calculations combining both automatic differentiation and manual differentiation, simplifying complex calculations while maintaining high performance.
Craft complex models effortlessly using dynamic computational graphs, giving you the ability to create any models you want and modify them at runtime.
Take advantage of model and data parallelism capabilities for extremely fast training, prediction and experimentation.
Build singular models that are interconnected between servers and clients through distributed training.
Build models that handles multi-dimensional tensor inputs and outputs to solve any demands of your projects.
Dive into user-friendly API designed for you to learn in a couple of minutes.
Built for production-grade and research-grade applications.
Cross-compatible with DataPredict library.