CFU-Playground
ML accelerator framework
A framework for designing and evaluating custom processor instructions to accelerate machine learning tasks on FPGAs.
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.
476 stars
28 watching
125 forks
Language: Verilog
last commit: 2 months ago
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tensorflowtflitetflm
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