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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.
Training, inference and some benchmark code for DualPM presented at CVPR 2025
Generative modeling and representation learning through reconstruction
Temporal Representational Similarity Analysis in Python
Computes the generators for a given representation of SU2 and SU3.
Julia codebase to compute irreps of the unitary group U(d)
Representations of columns (as factors and units).
A representation for rational numbers based on fixed-width continued logarithms