Python package for extracting representations from state-of-the-art computer vision models
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Updated
Sep 11, 2024 - Python
Python package for extracting representations from state-of-the-art computer vision models
A representation for rational numbers based on fixed-width continued logarithms
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
Generative modeling and representation learning through reconstruction
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
A collection of conditional \ modulatable implicit neural representation implementations and basic building blocks in PyTorch.
Computes the generators for a given representation of SU2 and SU3.
Temporal Representational Similarity Analysis in Python
ICLR 2018 Quick-Thought vectors
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