Search Results for "machine learning platform" - Page 78
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Showing 2549 open source projects for "machine learning platform"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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JCLAL
A Java Class Library for Active Learning
...The full citation is: Oscar Reyes, Eduardo Pérez, María del Carmen Rodríguez-Hernández, Habib M. Fardoun, Sebastián Ventura. JCLAL: A Java Framework for Active Learning. Journal of Machine Learning Research, 17(95):1-5, 2016. -
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Attitude Estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. -
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Convolution arithmetic
A technical report on convolution arithmetic in deep learning
A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution. The animations will be output to the gif directory. Individual animation steps will be output in PDF format to the pdf directory and in PNG format to the png directory. We introduce a guide to help deep learning practitioners understand and manipulate convolutional neural network architectures.... -
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State Controller Library
A C++ framework that implements generalised finite state machines.
The State Controller Library is a generic platform-independent C++ framework that allows finite state machines and multi-action planning generalisations thereof to be realised. The structure and implementation of this library focuses on the application of finite state machines to real-time control loops, but can be reasonably adapted for virtually any other application, even completely unrelated to control systems. An emphasis has been placed on having very low overhead so as not to hurt... -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Question Answering Corpus
Question answering dataset in "Teaching Machines to Read & Comprehend"
...The dataset, introduced in the 2015 paper “Teaching Machines to Read and Comprehend” (Hermann et al., NIPS 2015), was among the first large corpora designed to train and evaluate machine reading and comprehension models. The repository provides scripts for downloading archived CNN and Daily Mail articles from the Wayback Machine and automatically generating cloze-style questions where entities in the text are replaced with placeholders. Each data instance consists of a news article (context), a generated question, and its corresponding answer, making it suitable for supervised machine learning setups. ... -
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e-Metis - ML
Modul za napovedovanje učnih težav.
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A machine learning-based method for somatic variant identification from low-pass next-generation sequencing.
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EduSec College Management System
EduSec is now available on Cloud with LMS integrated
The new version of EduSec ERP (Enterprise version) is released as a Modern Educational Institutions ERP with eLearning Platform for Multi-Campus Solutions for Schools, Colleges, and Universities. EduSec has a suite of selective modules exclusively tailored to the needs of the education industry and also support seamless integration with prominent products like “Moodle”. With the use of EduSec, almost all departments within the education industry (e. g. admission, administration, time... -
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Repl.it
Online REPL for 15+ languages
...The architecture leans on simple web technologies so the learning curve stays low for educators and new programmers. Even as the commercial product evolved, this archive shows the foundational approach to making coding accessible anywhere with just a link. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Data Science Specialization
Course materials for the Data Science Specialization on Coursera
...The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow. -
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Phrasal
Statistical phrase-based machine translation system
Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group... -
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sgmweka
Weka wrapper for the SGM toolkit for text classification and modeling.
Weka wrapper for the SGM toolkit for text classification and modeling. Provides Sparse Generative Models for scalable and accurate text classification and modeling for use in high-speed and large-scale text mining. Has lower time complexity of classification than comparable software due to inference based on sparse model representation and use of an inverted index. The provided .zip file is in the Weka package format, giving access to text classification. Other functions are usable through... -
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Blobwars: Metal Blob Solid
2D platform game
Metal Blob Solid is a 2D platform game, the first in the Blobwars series. You take on the role of a fearless Blob agent, Bob, who's mission is to infiltrate various enemy bases and rescue as many MIAs as possible, while battling many vicious aliens. -
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Scala Exercises
The easy way to learn Scala
Scala Exercises is an open source platform for learning Scala through interactive exercises and tutorials. It provides a hands-on learning environment where users can read theory and immediately code (in the browser) and see results. The content covers Scala language features, functional programming libraries (cats, scalaz, etc.), and fp-style patterns. It is modular, so additional modules or “sections” can be added for new topics or libraries. -
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Dimension Balls
A public domain cross platform 3D game
An OpenGL 3D game, written from scratch (no dependencies). Provided as freeware mostly as a source of inspiration to help others. A little like a 3D version of the Amiga game Pang! The game is mostly intended for someone wanting to learn OpenGL. But since the game only uses OpenGL 1.0 the drawing code is outdated, but still things can be learned from the collision detection and other techniques. Some of the code is left in an unfinished/testing state. This game was a learning... -
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RDKit
Open-Source Cheminformatics and Machine Learning
A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches. -
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Infinity Virtualization Platform
A virtual infrastructure without the dedicated physical infrastructure
Infinity saves time and money by providing users with a virtual infrastructure without the need to buy and manage dedicated hardware. The Infinity virtualization platform gives users centralized management of their virtual machines (VMs), but unlike traditional virtualization solutions, Hosts running VMs can be any computer. Computer workstations and servers which are running Windows, Mac, Linux, BSD, Unix or no OS at all can be used to host VMs alongside their current applications. VMs... -
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BPL
Bayesian Program Learning model for one-shot learning
BPL (Bayesian Program Learning) is a MATLAB implementation of the Bayesian Program Learning framework for one-shot concept learning (especially on handwritten characters). The approach treats each concept (e.g. a character) as being generated by a probabilistic program (motor primitives, strokes, spatial relationships), and inference proceeds by fitting those generative programs to a single example, generalizing to new examples, and generating new exemplars. The repository contains code for... -
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Ampare Speech To Amaar and Martin
Ampare Speech To Amaar and Martin Version 4 is an artificial intellige
Ampare Speech To Amaar and Martin Version 4 is an artificial intelligence and machine learning software to make computers can be talk like a real human and learn from the human. that going to use in a robot in a future. -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
...To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. ... -
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Java Library for Machine Learning
A pure Java library for machine learning
JML is a machine learning library in Java, it is a pure Java package, and thus is cross-platform. The goal of JML is to make machine learning methods very easy to use and speed up code conversion from MATLAB to Java. Please be noted that JML has been replaced by LAML. -
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libcrn is document image processing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.
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DeepLearnToolbox
Matlab/Octave toolbox for deep learning
DeepLearnToolbox is a MATLAB / Octave toolbox for prototyping deep learning models. It provides implementations of feedforward neural networks, convolutional neural networks (CNNs), deep belief networks (DBNs), stacked autoencoders, convolutional autoencoders, and more. The toolbox includes example scripts for each method, enabling users to quickly experiment with architectures, training, and inference workflows. Although it's been flagged as deprecated and no longer actively maintained, it... -
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jLDADMM
A Java package for the LDA and DMM topic models
The Java package jLDADMM is released to provide alternative choices for topic modeling on normal or short texts. It provides implementations of the Latent Dirichlet Allocation topic model and the one-topic-per-document Dirichlet Multinomial Mixture model (i.e. mixture of unigrams), using collapsed Gibbs sampling. In addition, jLDADMM supplies a document clustering evaluation to compare topic models. See the usage of jLDADMM in its website at http://jldadmm.sourceforge.net/
