Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

Conv2D acceleration using the framework CFU Playground

FPGA support for anode using CFU Playground

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AAML-2025 Labs and CFU-Playground Learn

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

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ORNL PIM project based on CFU-Playground

Config files for my GitHub profile.

Generates optimized code for different DNN models in CFU-Playground ready structure

My own fork of CFU-Playground to work with it.

This repsitory has some erros and bugs with CFU Playground

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CFU playground for a course that teaches AI accelerators

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Tech.io playground

As part of my Final Year Project at American University of Beirut (AUB). We developed a configurable 2D systolic array accelerator integrated as a tightly coupled coprocessor to a RISC-V soft core using the CFU-Playground framework and tested on an Arty A7-35T FPGA.