This repo contains Go implementation and corresponding APIs for acceleration of Binarized Neural Network (BNN) on FPGAs.
-
Updated
Nov 13, 2018 - Go
#
bnn-fpga
Here are 4 public repositories matching this topic...
experimenting with binary brain(C++ framework for training Binary Neural Networks)
-
Updated
Jul 14, 2025 - C++
Ultra-low-latency Ternary Neural Network inference engine for HFT alpha generation, optimized for an ultra-budget 1,120-LUT Renesas FPGA. Features a fully unrolled combinatorial popcount tree achieving 2-cycle deterministic execution without hardware multipliers, paired with an ESP32-S3 hardware-software co-design.
fpga esp32 rtl verilog low-latency hft hardware-acceleration quantitative-trading digital-design system-on-chip high-frequency-trading bnn binary-neural-networks bnn-fpga edge-ai tiny-ml esp32-s3 neural-network-hardware machine-learning-inference
-
Updated
Jun 2, 2026 - Verilog
Improve this page
Add a description, image, and links to the bnn-fpga topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the bnn-fpga topic, visit your repo's landing page and select "manage topics."