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1. DAEBI DAEBI Public

   A framework for the design space exploration of BNN accelerators with regards to data flows and architectures through automatic generation of VHDL designs.

   VHDL

2. SPICE-Torch SPICE-Torch Public

   A framework for connecting SPICE simulations of analog computing neuron circuits with PyTorch accuracy evaluations for Binarized (and soon Quantized) Neural Networks.

   Python 2 2

3. BNN-QNN-ErrorEvaluation BNN-QNN-ErrorEvaluation Public

   A framework for error tolerance training and evaluation of Binarized and Quantized Neural Networks

   Python 1 2

4. TREAM TREAM Public

   A framework built on top of sklearn for error evaluations of tree-based models

   Python 2