Search Results for "neighbour from hell"

This project provides fast Python implementations of several different popular recommendation algorithms for implicit feedback datasets. All models have multi-threaded training routines, using Cython and OpenMP to fit the models in parallel among all available CPU cores. In addition, the ALS and BPR models both have custom CUDA kernels - enabling fitting on compatible GPU’s. This library also supports using approximate nearest neighbour libraries such as Annoy, NMSLIB and Faiss for speeding up...

... practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format.

What it does is uses existing screen reading software blind or vision impaired people have and read out IRC messages. You may say doesn't mIRC have MS Agent built in? Why Can't you just use that? If you have ever had to rely on such low quality of speech you would not ask that. JAWS and NVDA are currently supported screen readers in mIRC With Speech. To begin with, MWS reads out all messages from channels, private messages notices, server notices etc. It has sounds for user joins/parts from...