Autumn Leaf

I Use This!

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Analyzed 11 months ago. based on code collected 11 months ago.

Project Summary

The Hacker's Machine Intelligence Framework engineered by software developers, not scientists.
Leaf is portable. Run it on CPUs, GPUs, FPGAs on machines with an OS or on machines without one. Run it with OpenCL or CUDA. Credit goes to Collenchyma and Rust.
Leaf is part of the Autumn Machine Intelligence Platform, which is working on making AI algorithms 100x more computational efficient. Bringing real-time, offline AI to smartphones and embedded devices.
Core for high-performance machine intelligence applications. Leafs' design makes it easy to publish independent modules to make e.g. deep reinforcement learning, visualization and monitoring, network distribution, automated preprocessing or scaleable production deployment easily accessible for everyone.

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In a Nutshell, Autumn Leaf...

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has had 164 commits made by 17 contributors
representing 7,312 lines of code
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is mostly written in Rust
with a very well-commented source code
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has a young, but established codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 2 years of effort (COCOMO model)
starting with its first commit in October, 2015
ending with its most recent commit almost 7 years ago

Quick Reference

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Code Locations:

https://github.com/autumnai/leaf

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Licenses

Apache License, Version 2.0

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Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

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