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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
...The fully fused MLP component of this framework requires a very large amount of shared memory in its default configuration. It will likely only work on an RTX 3090, an RTX 2080 Ti, or high-end enterprise GPUs. Lower-end cards must reduce the n_neurons parameter or use the CutlassMLP (better compatibility but slower) instead. tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. These bindings can be significantly faster than full Python implementations; in particular for the multiresolution hash encoding. -
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Weeno is an software-only extension of Wiring / Arduino for potentially all and any Atmel AVR MCUs. And potentially all chip architectures from all companies, whether Freescale, SiLabs, TI, even ARM. Basically, the goal is to make AVR-Weeno, ARM-Weeno, 8
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This helper allows you to write NSIS scripts in Delphi code using Ctrl-Space style and compile them into Software Distribution using NSIS installation system.
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