ruby-fann
XNNPACK
| ruby-fann | XNNPACK | |
|---|---|---|
| 1 | 8 | |
| 489 | 1,700 | |
| 2.9% | 1.6% | |
| 6.0 | 9.9 | |
| about 1 month ago | 4 days ago | |
| C | C | |
| MIT License | GNU General Public License v3.0 or later |
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ruby-fann
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Monitor Ruby Application Performance with Magic Dashboards
The above example application uses a simple neural network implemented using the Ruby FANN gem to predict the next day's Bitcoin price. Percentage price changes from the last ten days are used as inputs to the model.
XNNPACK
- Xnnpack: High-efficiency floating-point neural network inference operators
- Can a NPU be used for vectors?
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Performance critical ML: How viable is Rust as an alternative to C++
Why are you writing your own inference code in C++ or Rust instead of using some kind of established framework like XNNPACK?
- [P] Pure C/C++ port of OpenAI's Whisper
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[Discussion] Is XNNPACK a part of mediapipe? or should be additionally configured with mediapipe?
XNNPACK - https://github.com/google/XNNPACK
- WebAssembly Techniques to Speed Up Matrix Multiplication by 120x
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Prediction: Macs won't see many new games, no matter how powerful their hardware is
Ok, concrete example time! At work, we're going to be using some software which includes XNNPACK, which is a library of highly-optimised operations for doing neural-network inference. This is the sort of thing where people have gone in and specifically tuned for performance, and nope, there's no attempt at all made to have code which is different for Intel/AMD or Apple/Other ARM. What they target is elements of the ISA, like NEON (i.e. ARM SIMD) and SSE, AVX etc. on x86(-64). And Wasm SIMD for Wasm.
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Where are Nvidia's DLSS models stored and how big are they?
It's quite simple. https://github.com/google/XNNPACK for example.
What are some alternatives?
AI4R - Artificial Intelligence for Ruby - A Ruby playground for AI researchers
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
Ruby Units - A unit handling library for ruby
gemm-benchmark - Simple [sd]gemm benchmark, similar to ACES dgemm
Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.
cpuid2cpuflags - Tool to generate CPU_FLAGS_* for your CPU
lab - A customisable 3D platform for agent-based AI research
wasmblr - C++ WebAssembly assembler in a single header file
bhook - :fire: ByteHook is an Android PLT hook library which supports armeabi-v7a, arm64-v8a, x86 and x86_64.
Genann - simple neural network library in ANSI C
TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?
HIP-CPU - An implementation of HIP that works on CPUs, across OSes.