MLKit (a.k.a Machine Learning Kit) 🤖 MLKit is a simple machine learning framework written in Swift. Currently MLKit features machine learning algorithms that deal with the topic of regression, but the framewor
Code Folders and files Name Last commit message Last commit date Latest commit History 6 Commits .gitignore LICENSE Perceptron Binary Classification Learning Algorithm Tutorial.ipynb Play With Your Own Dataset Tutorial.ipynb README.rst Tutorial ofFukuML, Simple machine learning library / 簡單易用的機器...
As the data-driven decision process becomes dominating for industrial applications, fairness-aware machine learning arouses great attention in various areas. This work proposes fairness penalties learned by neural networks with a simple random sampler of sensitive attributes for non-discriminatory supervised...
Today, we’re excited to announce the release of SynapseML (previously MMLSpark), an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. Building production-ready distributed ML pipelines can be difficult, even for the most seasoned de...
This introductory guide will help you make sense of it all and inspire you to try outscenarios and code samples that can be used in many real-world situations. What You Will Learn Create a machine learning model using only the C# language Build confidence in your understanding of machine ...
Meta-learning. In: Automated Machine Learning (Springer, 2019). Chen, Z. & Liu, B. Lifelong Machine Learning (Morgan & Claypool, 2016). Koppe, G., Meyer-Lindenberg, A. & Durstewitz, D. Deep learning for small and big data in psychiatry. Neuropsychopharmacology 46, 176–190 (2020)....
Ce service prend en charge les API et les protocoles aux normes de l'industrie. Vous pouvez ainsi passer de n'importe quel agent de messages basé sur les normes à Amazon MQ, sans devoir réécrire le code de messagerie dans vos applications. Si vous créez de toutes nouvelles applications...
Machine-learning models have recently encountered enormous success for predicting the properties of materials. These are often trained based on data that present various levels of accuracy, with typically much less high- than low-fidelity data. In order
The map of the machine learning world If you are too lazy for long reads, take a look at the picture below to get some understanding. Always important to remember — there is never a sole way to solve a problem in the machine learning world. There are always several algorithms that fit...
A Simple High Performance Compututing Framework for [Federated] Machine Learning 展开 收起 暂无标签 README Apache-2.0 使用Apache-2.0 开源许可协议 Code of conduct 23 Stars 7 Watching 3 Forks 保存更改 取消 发行版 暂无发行版 eggroll 开源评估指数 开源评估指数源自 OSS-Compass 评估体系...