qkeras VS route-bender-4000

I would check out hls4ml. It's an open source project made by/for people at CERN to convert neural networks created in Python using QKeras (a quantization extension of Keras) into HLS, with Vivado HLS being the most well supported. There are some caveats though, and a fellow student and I have had trouble getting the generated HLS to match the Keras model and be feasible to synthesize, but it seems to work well for smaller neural networks.

For quantization-aware training, there's also a tool we integrate with called qkeras: https://github.com/google/qkeras/tree/master/qkeras

Brevitas appears to be what you're looking for. I haven't used that but developed something similar myself for a previous project. You could take a look at https://github.com/google/qkeras too

I posted this 10 months ago, meanwhile, I did a lot of changes, currently I am running a immense network with 34 machines using that software as VPN accelerator. https://github.com/Ne00n/pipe-builder-3000/ Maybe this is helpful to someone, I needed a app that creates multiple point to point connections, but it can be also used to setup a wireguard mesh. On top, I do run bird2, with OSPF so everything becomes reachable, also have a script for that: Latency optimizer is included, means it does messure the latency of all links and weights them so bird routes with the lowest weighted Link. There is a Python3 script included to do this ‏‏‎ automatically every 5 minutes from each node. https://github.com/Ne00n/bird-spawner-3000 If you wanna optimize your network routing, you can use this: https://github.com/Ne00n/route-bender-4000 It does help me to play Youtube and Reddit without buffers and drops latency.