cmdevries

LMW-tree

Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, clustering, random projections, random indexing, hashing, bit signatures

ClusterEval

Cluster Quality Evaluation Software

markovify

Fetch text from p tags in URLs and generate text using large language models or markov chains with content learned from the text

ClusterQrel

Creates points for cumulative recall plots given a clustering and a set of QRELS (ad hoc search relevance judgements).

ClusterSpam

Calculates the consistency between a clustering and spam classification.

bash

random stuff about bash and *nix

buildyourownlisp

Self learning project from http://www.buildyourownlisp.com

Coursera-Stanford-Machine-Learning

Materials from Coursera Stanford Machine Learning course http://www.ml-class.org 100% score achieved

SSEXORHamming

Testing Hamming distance performance when optimizing XOR with SSE instructions

zmqpp

0mq 'highlevel' C++ bindings

algods

Implementations of algorithms and data structures for my own interest

gascheduler

Erlang Distributed Scheduler

fp_in_haskell

https://www.futurelearn.com/courses/functional-programming-haskell/

gluon-nlp

NLP made easy

hyper

Erlang implementation of HyperLogLog

pandas_inverted_index

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.