[P] Training a spiking NN to produce images

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • jax

    Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  • We used the spiking neuron modules in Rockpool to build the network. These particular modules are based on Jax, which gives us compilation to GPU/TPU/CPU as well as automatic differentiation "for free". There are similar modules in Rockpool based on Torch, if you prefer to use a torch training pipeline.

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • We used the spiking neuron modules in Rockpool to build the network. These particular modules are based on Jax, which gives us compilation to GPU/TPU/CPU as well as automatic differentiation "for free". There are similar modules in Rockpool based on Torch, if you prefer to use a torch training pipeline.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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