Source code for the paper "Fourier learning with cyclical data",
ParaGen is a PyTorch deep learning framework for parallel sequence generation.
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
Official codes: Self-Supervised Learning by Estimating Twin Class Distribution