PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)

A Shared Nearest Neighbors clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood similarity as a metric.

K Nearest Neighbors classifier from scratch for image classification using MNIST Data Set.

Round a single-precision floating-point number toward positive infinity.

Round a numeric value to the nearest integer.

Round a numeric value to the nearest power of 10 toward zero.

Round a numeric value to the nearest power of 10 toward positive infinity.

Round a numeric value to the nearest power of 10 toward negative infinity.

Round a numeric value to the nearest power of 10 on a linear scale.

Round a numeric value to the nearest power of two toward positive infinity.

Round a numeric value to the nearest number toward negative infinity with N significant figures.

Round a numeric value to the nearest number toward zero with N significant figures.

Round a numeric value to the nearest power of two on a linear scale.

Round a complex number to the nearest integer.

Round a complex number to the nearest multiple of 10^n toward negative infinity.

Round a numeric value to the nearest number toward positive infinity with N significant figures.

Round a numeric value to the nearest multiple of b^n toward zero.

Round a numeric value to the nearest power of two toward zero.

Round a complex number to the nearest multiple of 10^n.