Header-only C++ HNSW implementation with python bindings, insertions and updates. init_index(max_elements, M = 16, ef_construction = 200, random_seed = 100, allow_replace_deleted = False) initializes ...

GGNN performs nearest-neighbor computations on CUDA-capable GPUs. It supports billion-scale, high-dimensional datasets and can execute on multiple GPUs through sharding. When using just a single GPU, ...

Abstract: The research examines the Support Vector Machines (SVM) and K-Nearest Neighbor (KNN) machine learning algorithms with the goal of using machine learning to detect malware and mitigate ...

Abstract: The purpose of recommendation system is to guide to user, drew on their preferences. This saves consumers to take moment to browse on web for films where millions of films accessible on web.

Since 1992, all state-of-the-art methods for fast and sensitive identification of evolutionary, structural, and functional relations between proteins (also referred to as “homology detection”) use ...

It is well recognized that batch effect in single-cell RNA sequencing (scRNA-seq) data remains a big challenge when integrating different datasets. Here, we proposed deepMNN, a novel deep ...