An open source machine learning library for performing regression tasks using RVM technique.

Overview

neonrvm_logo

GitHub GitHub release (latest SemVer including pre-releases) GitHub stars PyPI - Status

Introduction

neonrvm is an open source machine learning library for performing regression tasks using RVM technique. It is written in C programming language and comes with bindings for the Python programming language.

neonrvm was born during my master's thesis to help reduce training times and required system resources. neonrvm did that by getting rid of multiple middleware layers and optimizing memory usage.

Under the hood neonrvm uses expectation maximization fitting method, and allows basis functions to be fed incrementally to the model. This helps to keep training times and memory requirements significantly lower for large data sets.

neonrvm is not trying to be a full featured machine learning framework, and only provides core training and prediction facilities. You might want to use it in conjunction with higher level scientific programming languages and machine learning tool kits instead.

RVM technique is very sensitive to input data representation and kernel selection. You might consider something else if you are looking for a less challenging solution.


Documentation

Please visit the dedicated users guide page: https://siavashserver.github.io/neonrvm/


License


Future work

  • Investigate methods to make learning process numerically more stable
  • Implement classification
  • Create higher level wrappers and programming language bindings
  • Improve documentation

Reference

  • Tipping, M. E. (2001). Sparse Bayesian learning and the relevance vector machine. Journal of machine learning research, 1(Jun), 211-244.
  • Ben-Shimon, D., & Shmilovici, A. (2006). Accelerating the relevance vector machine via data partitioning. Foundations of Computing and Decision Sciences, 31(1), 27-42.
Releases(v0.2.0)
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin

Vowpal Wabbit 8k Aug 4, 2022
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

Microsoft 14.1k Aug 10, 2022
An open-source, low-code machine learning library in Python

An open-source, low-code machine learning library in Python ?? Version 2.3.6 out now! Check out the release notes here. Official • Docs • Install • Tu

PyCaret 6.1k Aug 10, 2022
Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

Gesture Recognition Toolkit (GRT) The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for re

Nicholas Gillian 780 Aug 5, 2022
An Open Source Machine Learning Framework for Everyone

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

null 166.8k Aug 3, 2022
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine DSSTNE (pronounced "Destiny") is an open source software library for training and deploying

Amazon Archives 4.4k Jul 30, 2022
A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.

iNeural A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms. What is a Neural Network? Work on

Fatih Küçükkarakurt 5 Apr 5, 2022
Open standard for machine learning interoperability

Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides

Open Neural Network Exchange 13k Aug 7, 2022
An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit

DREAMPlaceFPGA An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. This work leverages the open-source A

Rachel Selina Rajarathnam 15 Jul 20, 2022
Examples for using ONNX Runtime for machine learning inferencing.

Examples for using ONNX Runtime for machine learning inferencing.

Microsoft 269 Aug 4, 2022
Edge ML Library - High-performance Compute Library for On-device Machine Learning Inference

Edge ML Library (EMLL) offers optimized basic routines like general matrix multiplications (GEMM) and quantizations, to speed up machine learning (ML) inference on ARM-based devices. EMLL supports fp32, fp16 and int8 data types. EMLL accelerates on-device NMT, ASR and OCR engines of Youdao, Inc.

NetEase Youdao 176 Jul 21, 2022
PaRSEC: the Parallel Runtime Scheduler and Execution Controller for micro-tasks on distributed heterogeneous systems.

PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed, GPU accelerated, many-core heterogeneous architectures. PaRSEC assigns computation threads to the cores, GPU accelerators, overlaps communications and computations and uses a dynamic, fully-distributed scheduler based on architectural features such as NUMA nodes and algorithmic features such as data reuse.

null 9 Jun 19, 2022
A lightweight C++ machine learning library for embedded electronics and robotics.

Fido Fido is an lightweight, highly modular C++ machine learning library for embedded electronics and robotics. Fido is especially suited for robotic

The Fido Project 412 Jun 25, 2022
Nano - C++ library [machine learning & numerical optimization] - superseeded by libnano

Nano Nano provides numerical optimization and machine learning utilities. For example it can be used to train models such as multi-layer perceptrons (

Cosmin Atanasoaei 1 Apr 18, 2020
Nvvl - A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training

NVVL is part of DALI! DALI (Nvidia Data Loading Library) incorporates NVVL functionality and offers much more than that, so it is recommended to switc

NVIDIA Corporation 658 Jul 18, 2022
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

CNTK Chat Windows build status Linux build status The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes

Microsoft 17.2k Aug 6, 2022
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

The Microsoft Cognitive Toolkit is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph.

Microsoft 17.2k Aug 9, 2022
Distributed machine learning platform

Veles Distributed platform for rapid Deep learning application development Consists of: Platform - https://github.com/Samsung/veles Znicz Plugin - Neu

Samsung 898 Jul 25, 2022