AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Reference implementations of MLPerf® inference benchmarks

OpenCL integration for Python, plus shiny features

Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures

Measures microarchitectural details such as ROB size. Like https://github.com/travisdowns/robsize but without runtime code generation, which doesn't work on some platforms. Public domain except whe…

Stuff to put a FPGA in a NuBus Macintosh

GoldenEye is a functional simulator with fault injection capabilities for common and emerging numerical formats, implemented for the PyTorch deep learning framework.

Waiter configurations

Verilog implementation of the XC2064 FPGA