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TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
Python package for extracting representations from state-of-the-art computer vision models
A collection of conditional \ modulatable implicit neural representation implementations and basic building blocks in PyTorch.
Generative modeling and representation learning through reconstruction
Computes the generators for a given representation of SU2 and SU3.
Representations of columns (as factors and units).