Search Results for "data science" - Page 5
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Showing 747 open source projects for "data science"
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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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Change File Encoding
Change encoding of text files.
Change File Encoding is a utility that allows you to change the encoding of text files. For example, files saved in US-ASCII can be converted to UTF-8. Over 170 encodings are supported. Requires Java 1.8 or higher. -
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GitLab CE Server For Local Intranets
The Free & Popular Community git Server in a Complete Virtual Machine
This VM is created for 2 reasons: 1. Very little initial setup work required to make a GIT Server live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with gi wherever mentioned ) After starting this VM, please login to its administration panel with: Website Address: https://gi.local/ ( Accept Any Warnings due to... -
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ARWES
Futuristic Sci-Fi UI Web Framework
...A node represents and interactive and stateful UI component with design, animations, and/or sound support. The nodes in a tree are interconnected with each other by inheriting data and communicating dynamically. -
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DpdlScripting
DPDL (Dynamic Packet Definition Language) is a small framework library
Dpdl (Dynamic Packet Definition Language) is a constraint device framework and scripting engine that can be used to implement small, portable and light-weight applications on Java enabled devices (in particular J2ME and JavaME) and small embedded systems. It has been developed in 2002, in early days when mobile phones where running mostly J2ME applications. Dpdl is a compact framework, small memory footprint library and scripting engine that can be used to encode, decode, control and query... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Data science blogs
A curated list of data science blogs
Data Science Blogs is a curated repository that aggregates a wide range of high-quality blogs and resources related to data science, machine learning, and analytics into a single organized collection. It serves as a discovery platform for practitioners, researchers, and learners who want to stay updated with industry trends, techniques, and insights without manually searching for reliable sources. -
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Orchest
Build data pipelines, the easy way
Code, run and monitor your data pipelines all from your browser! From idea to scheduled pipeline in hours, not days. Interactively build your data science pipelines in our visual pipeline editor. Versioned as a JSON file. Run scripts or Jupyter notebooks as steps in a pipeline. Python, R, Julia, JavaScript, and Bash are supported. Parameterize your pipelines and run them periodically on a cron schedule. -
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CARTOframes
CARTO Python package for data scientists
A Python package for integrating CARTO maps, analysis, and data services into data science workflows. Python data analysis workflows often rely on the de facto standards pandas and Jupyter notebooks. Integrating CARTO into this workflow saves data scientists time and energy by not having to export datasets as files or retain multiple copies of the data. Instead, CARTOframes give the ability to communicate reproducible analysis while providing the ability to gain from CARTO's services like hosted, dynamic or static maps and Data Observatory augmentation. -
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BitMagic Library
Compressed bit-sets, sparse bit matrices and algorithms
BitMagic - C and C++ library implementing dynamic bitvectors and bit-set algorithms with several types of on-the-fly, adaptive compression. Designed for use in databases, search systems, data-mining algorithms, scientific projects. The core of the library is C++, but it provides C-compatibility wrappers and can be compiled without C++ runtime. Optimizations for Intel SSE2, SSE4.2 and AVX2. -
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libgwyfile
Read and write Gwyddion GWY files
Libgwyfile is a small, embeddable library for reading and writing of Gwyddion GWY files as foreign data. This means independently of Gwyddon and without adopting its data object model. -
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UnionML
Build and deploy machine learning microservices
...UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior. ... -
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Java Marine API
NMEA 0183 library for Java
Java Marine API is an NMEA 0183 library for Java. For furher info and latest source code, see project's Github pages. https://github.com/ktuukkan/marine-api/ -
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uac19
Analyze COVID-19 csv files
A flexible command line tool to analyze COVID-19 csv files https://github.com/nytimes/covid-19-data https://ourworldindata.org/coronavirus-source-data The rpm build is rh7 the tgz installs on Windows cygwin. -
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eXist-db
eXist-db is a feature rich Open Source native XML database
eXist-db is a native XML database featuring efficient, index-based XQuery processing, extensions for keyword search, XUpdate support, XSLT support, XForms support, REST and tight integration with existing XML development tools. Moved to Github - https://www.github.com/exist-db/exist -
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krangl
krangl is a {K}otlin DSL for data w{rangl}ing
krangl is a {K}otlin library for data w{rangl}ing. Implementing a grammar of data manipulation using a modern functional-style API, allows filtering, transforming, aggregating, and reshaping tabular data. krangl is heavily inspired by the amazing dplyr for R. krangl is written in Kotlin, excels in Kotlin, but emphasizes as well on good java-interop. It is mimicking the API of dplyr, while carefully adding more typed constructs where possible. -
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FOML is an expressive logic rule language that supports object modeling, analysis, and inference. It naturally supports model-level activities, such as constraints (extending UML diagrams), dynamic compositional modeling, analysis and reasoning about models, model testing, design pattern modeling, specification of Domain Specific Modeling Languages, and meta-modeling. FOML can reason about: 1. The model meta-data (meta-model level reasoning, or syntax reasoning) 2. Data level: reason...
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Lnkdlst
Single sided linked list (kind of lib with test-code, C, C++ and java)
Use own (user) data section for each Linked-List-Element (LLEl) including a fix Identifier which is for search via basic Lnkdlst function (fast ID-part-search, e.g. to find all elements with a specific bit in the ID set). Main list-linkage-change functions: append, insert, delete. - Examples: use of flexible variable ArgList (OnePointerArg, optional valid if not NULL, Argument-Type by ID-Number is easy to get), key-value pairs, build FIFO{queue}/LIFO{stack}, auto-list with max.... -
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SkePi
Data parallel and stream parallel skeletons implemented in erlang.
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. ... -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
...The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. To run the AWS Step Functions Data Science SDK example notebooks locally, download the sample notebooks and open them in a working Jupyter instance. -
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Automatic Report Generator
Generate reports from Java applications directly.
Automatic Report Generator is a mini-ETL API which allows to retrieve data through an SQL query towards a structured file, would it be a CSV, XLSX, or XML. This API also supports BIRT reports, and, in this case, its respective template is required. The project is available on Maven: https://mvnrepository.com/artifact/net.sf.automatic-report-generator Version 3: https://mvnrepository.com/artifact/net.sf.ennahdi.automatic-report-generator Checkout the documentation for both... -
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Data Structures and Algorithms in JS
Data Structures and Algorithms explained and implemented in JavaScript
...You will be able to solve problems faster in your day-to-day work and ace technical job interviews. Simply put, algorithms are several steps to solve a specific problem (e.g., sort number, search value, transform data, etc.). Algorithms are an essential toolbox for every programmer. Even if you don't realize it, you use them every day. They are built-in in apps, programming languages, and libraries. However, to make use of them properly, you have to know the tradeoffs so you can choose the best tool for the job. Improve your problem-solving skills and become a stronger developer by understanding fundamental computer science concepts. -
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Mesh2HRTF is an open-source project aiming at providing an easy-to-use software package for the numerical calculation of HRTFs. It targets researchers in the field of binaural audio. In a nutshell, Mesh2HRTF simply reads geometrical data, calculates the corresponding sound field and outputs HRTFs. To support multiple computer platforms, the concept of Mesh2HRTF is to focus on a command-line tool, which forms the numerical core, i.e., an implementation of the 3-dimensional Burton-Miller...
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JAMon API
Monitor Java applications - SQL, HTTP, Methods, Exceptions and more.
JAMon API is a free, simple, high performance, thread safe, Java API that allows developers to easily monitor the performance and scalability of production applications. JAMon tracks hits, execution times (total, avg, min, max, std dev), and more. * JAMon Users Manual: For more on the JAMon, including installing, configuring, and using it, see http://jamonapi.sourceforge.net/. * Support: If you have any questions about usage please post a question on the forum at ... -
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities,... -
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libpython-clj
Python bindings for Clojure
libpython-clj is a deep interop library enabling you to load and use Python modules from within Clojure as if they were native namespaces—and even extend Python objects from Clojure. It bridges to the Python C API, preserving REPL‑based workflows. Bridge between JVM objects and Python objects easily; use Python in your Java and use some Java in your Python. Python objects are linked to the JVM GC such that when they are no longer reachable from the JVM, their references are released....
