Deep Learning options on Radeon RX 6800

This page summarizes the projects mentioned and recommended in the original post on /r/Amd

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  • Numba

    NumPy aware dynamic Python compiler using LLVM

  • Numba: A High Performance Python Compiler (pydata.org)

  • ncnn

    ncnn is a high-performance neural network inference framework optimized for the mobile platform

  • There's a Tencent-developed Open Source CNN library that runs on pretty much anything, as it's using Vulkan. It's called ncnn, you might want to take a look.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • HIPIFY

    Discontinued HIPIFY: Convert CUDA to Portable C++ Code [Moved to: https://github.com/ROCm/HIPIFY] (by ROCm-Developer-Tools)

  • It might be worth checking out HIPIFY, which lets you automatically convert CUDA code to vendor neutral code that can be run on any GPU. Disclaimer, I have never used it and have no idea how it works.

  • rocm-build

    build scripts for ROCm

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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