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"

ICLR 2018 Quick-Thought vectors

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

GAP package for constructing representations of SL(2,Z)

Computes the generators for a given representation of SU2 and SU3.

Temporal Representational Similarity Analysis in Python

Representations of columns (as factors and units).

A representation for rational numbers based on fixed-width continued logarithms