An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

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

目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.

A k-d tree implementation in Go.

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

PH-Tree

A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm

Gimp plugin for scaling / rescaling images with Pixel Art Scaler algorithms such as hqx, xbr and scalex

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

Plugin that makes blurry textures sharper by changing scaling algorithm

Retinize will upscale (using nearest neighbor) images to look correctly on retina screens. This is particularly useful for pixel art when you don't want to store an upscaled version.

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Weighted k-Nearest Neighbors

Mapping of OPENQASM programs to IBM QX satisfying the architectural constraints

Official implementation for [N2DCX] Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

Robustness for Non-Parametric Classification: A Generic Attack and Defense

Nearest neighbor tight-binding estimation of band structures of bulk and nano-ribbon (Armchair and Zigzag) graphene.

C++ program that, given a vectorised dataset and query set, performs locality sensitive hashing, finding either Nearest Neighbour (NN) or Neighbours in specified range of points in query set, using either Euclidian distance or Cosine Similarity.