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

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

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

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

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

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.

Round each element in a strided array toward positive infinity.

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