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

Rcpp bindings for Annoy

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.

A Nearest widget for finding features around a location. The style can be completely changed to match your own site.

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

Round each element in a double-precision floating-point strided array toward positive infinity according to a strided mask array.

Round each element in a double-precision floating-point strided array toward positive infinity.

Round each element in a single-precision floating-point strided array toward zero according to a strided mask array.

Round a numeric value to the nearest multiple of 10^n toward zero.

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

Create an iterator which rounds each iterated value to the nearest power of two toward negative infinity.

Round a numeric value to the nearest integer.

Round each element in a strided array toward negative infinity.

Create an iterator which rounds each iterated value to the nearest power of two on a linear scale.

Round each element in a single-precision floating-point strided array toward positive infinity according to a strided mask array.

Round a numeric value to the nearest multiple of 10^n toward positive infinity.

Create an iterator which rounds each iterated value to the nearest power of 10 toward zero.

Create an iterator which rounds each iterated value to the nearest power of 10 on a linear scale.