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Analyzed 2 days ago. based on code collected 2 days 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.

Tags

cpu cross-platform cuda deep_learning embedded fpga gpu machine_learning neural_networks offline opencl real-time reinforcement_learning rust

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In a Nutshell, Autumn Leaf...

Apache License, Version 2.0
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MIT License
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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Rust
63%
HTML
24%
CSS
10%
2 Other
3%

30 Day Summary

Mar 12 2024 — Apr 11 2024

12 Month Summary

Apr 11 2023 — Apr 11 2024