Search Results for "r-map"
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Showing 90 open source projects for "r-map"
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Introduction to Zig
An open, technical and introductory book for the Zig programming lang
...To know more about the book, check out the About this book section below. You can read the current version of the book in your web browser. The book is built using the publishing system Quarto in conjunction with a little bit of R code (zig_engine.R), which is responsible for calling the Zig compiler to compile and run the Zig code examples. -
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Open Science
Open Science is an open-source, local-first, model-agnostic research
Open Science is an open-source, local-first AI research workbench built for scientific discovery on macOS, Windows, and Linux. Researchers can describe a task in plain language and let an agent inspect files, execute Python or R, search the web, and call scientific data connectors. The system is model-agnostic, allowing users to connect supported providers, compatible gateways, or subscription-based backends. It produces reproducible reports, tables, figures, and other artifacts inside a unified project workspace. Users can inspect tool activity, approve sensitive actions, branch earlier conversations, and compare alternative research paths without losing prior work. ... -
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SLAM in Autonomous Driving Book
SLAM Technology in Autonomous Driving
...It then implements point-cloud processing, nearest-neighbor structures, ICP, NDT, scan matching, occupancy grids, and loop closure. Readers build both loosely coupled and tightly coupled LiDAR-inertial odometry systems. Later modules cover offline mapping, backend optimization, tiled map export, map loading, initialization, and fused real-time localization. The repository includes configuration files, Docker support, demonstrations, and datasets for urban, campus, road, mall, and solid-state LiDAR scenarios. -
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Countries
Laravel countries and currencies
...This package is not tied to Laravel and doesn't require it to be installed (we have a bridge for this purpose), but it has Laravel Collections in its core, all methods in Collections are available, this way you can do things like filter, map, reduce, search, sort, reject, and a lot more. It, actually, uses Coollection, which is Laravel Collections with a fluent syntax, allowing us to have access to array keys (and values) as object properties. -
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PocketFlow Tutorial Codebase Knowledge
Codebase to Tutorial
PocketFlow Tutorial Codebase Knowledge is a project that demonstrates how to build an AI agent capable of analyzing arbitrary codebases and generating beginner-friendly tutorials that explain how they work, turning complex source code into clear educational content. The repository builds on a lightweight 100-line LLM framework and uses natural language models to inspect repository structures, identify core abstractions, map dependencies, and articulate the reasoning behind code design and interactions. By crawling code files, extracting higher-level patterns, and using large language models to narrate explanations, the system aims to help developers — especially those new to a codebase — understand unfamiliar projects without manual deep reading. It supports both GitHub URL crawling and local directory analysis, and can tailor output tutorials to different languages, making it accessible for international developers. -
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Think Python 2
LaTeX source and supporting code for Think Python, 2nd edition
...The code includes all of the example programs, exercises, and supplementary files referenced in the book, allowing learners to run the examples, experiment, and extend them. The repository contains clean, well-commented Python scripts that are easy to follow and map directly to chapters of the text, covering topics like variables, control flow, functions, recursion, data structures (lists, dictionaries), classes and objects, file I/O, and algorithmic thinking. It also contains solutions or hints for many exercises so learners can check their work or explore alternative implementations. Because it’s educational, the repository emphasizes readability, clarity, and progressive learning rather than performance tuning or advanced constructs. -
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Little Book of Linear Algebra
A concise, beginner-friendly introduction to the core ideas of linear
...The exposition aims to sit between a pop-math summary and a heavy textbook: definitions and key theorems are stated cleanly, while proofs are sometimes omitted or sketched to keep the flow digestible. Because of its brevity and clarity, it's especially useful as a first pass for learners who want a solid map of the subject before diving into full textbooks. -
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bootf2BCA
computing f2 bootstrap CI BCA
Computing similarity factor (f2) bootstrap with various types of confidence intervals -
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PreviSat
Satellite tracking software
PreviSat is a satellite tracking software for observing purposes. Very easy to use, it shows positions of artificial satellites in real-time or manual mode. PreviSat is able to make predictions of their passes, predictions of MetOp and COSMO-SkyMed flares, transits of all satellites, predictions of Starlink satellites passes and several other calculations. -
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reprex
Render bits of R code for sharing, e.g., on GitHub or StackOverflow
reprex is an R package (from the tidyverse / Posit ecosystem) that helps users make reproducible examples (reprexes) of R code: self-contained, shareable, minimal examples capturing an issue or showing desired behavior. It formats code and its output nicely (often using Markdown or syntax appropriate to posting on forums, GitHub, StackOverflow etc.), handles dependencies, session info, etc. -
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Barcelona Trees
A Guide of the Trees of Barcelona City
This program is a data visualization and navigation tool using a database created from datasets provided by the Barcelona city council, over a map of the city of Barcelona. The motivation of this program is to help answering questions such as: * What trees are nearby? (from manual location or GPS) * What trees are on a given street? * Where can I find specimens of a certain genus/species? * For each specimen, obtain more information about its species from existing data on Wikipedia and public images. -
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SPINA
Structure parameter inference approach for endocrine feedback control
SPINA is software for the rapid, reliable and accurate determination of constant structure parameters of endocrine feedback control systems. It is a class of static function tests that require nothing more than steady-state concentrations of hormones or metabolites obtained in vivo. The first version of this cybernetic approach had been developed for the evaluation of the functional status of the thyroid gland, i.e. thyroid's secretory capacity (gain of thyroid, GT or SPINA-GT) and sum... -
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XBNF Neurotranslator compiler
(X)BNF simple and clever translation grammar compiler
...{version} Library of smart samples of grammars> https://sourceforge.net/projects/xbnf/ Docker image which embeds the Linux/64bits binary and the library. https://hub.docker.com/r/damolab/neurotranslator/ Docker image with GNU C++ toolchain to build the xbnf command: https://hub.docker.com/r/damolab/neurotranslator-compil French blog dedicated to XBNF : https://damolab.zapto.org/xbnf/ -
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Prime number ( primenumbers )
Benchmark for 50 000 000 prime numbers as single and multicore
Simple source files and compiled JAR Java programs, for benchmark 50 000 000 cycle finding prime numbers. On Intel(R) Core(TM) i5-8600K CPU, Windows 10 20H2, i have 39 second on single core and 7,6 second on multi core. (PS: C++ multicore 6 second). Added C files for gcc compiler in Windows 10 and for Xcode C command line project in MacOS ( tested on Mac mini M2 with single core 16 to 25 sec and multicore 2,3 to 5 second by compiler -O switch). Surprise, same code in JavaScript for M2 chip in Safari: 12,5 sec single core and 3,3 sec multi core. ... -
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Tria Sistema Operatiu
Helps you find, download & burn the best Operating System for any PC
Tria O.S. detects hard & soft specs of the PC where you run it, you can load this info or specify it manually to let the program inform you what would be the best operating system for a specific PC, with the specified hardware, and then see the difference by adding RAM, a SSD hard drive, changing the graphics card ... etc. REQUIREMENTS: Linux EDITION need Gambas 3.3 or later, so you have to install the 'gambas3' package before installing. 90's EDITION needs 160 MB (192 MB on a... -
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dive-to-gosync-workshop
In-depth Go concurrent programming seminar
dive-to-gosync-workshop is a Chinese-language workshop repository about advanced Go concurrency programming. It focuses on the practical traps that appear when using Go’s concurrency primitives in real projects. The material discusses how even experienced teams working on large systems such as Docker, Kubernetes, gRPC, and etcd can run into subtle synchronization problems. It covers the implementation details, limitations, misuse patterns, and extension ideas behind standard synchronization... -
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Guia Extenso de Programação
An extensive guide of information with a vast content
...The guide covers a wide range of topics, including programming languages, front-end development, back-end development, cloud services, databases, design, open-source projects, developer tools, and career resources. It is useful for beginners who need a broad map of what to study and for experienced developers who want to discover new tools or update their stack. The repository also includes translation options and encourages community contributions through pull requests and issues. Overall, it functions as a large reference hub for self-directed technology learning. -
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Flutter Tips and Tricks
A Collection of Flutter and Dart Tips and Tricks
A curated collection of over 300 Flutter and Dart tips, tricks, and code patterns shared by developer Vandad Nahavandipoor. It showcases concise, real-world examples like map equality, animations, custom errors handling, UI effects, performance tweaks, and more. This resource is excellent for both beginners and experienced developers looking to level up Flutter skills. -
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Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
This repository holds the R Markdown (.Rmd) source files for the PH525x / HarvardX course series (Data Analysis for the Life Sciences / Genomics) managed by GenomicsClass. It functions as the canonical source for course lab exercises, lecture modules, and reading materials in reproducible format. Students and learners use these R Markdown files to follow along, knit notebooks, run code samples, and complete the lab-based assignments. -
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ety
A Python module to discover the etymology of words
...It is built as both a reusable module and a CLI utility, making it suitable for integration into other applications or standalone use. The project relies on structured datasets that map relationships between words and languages, enabling systematic exploration of linguistic evolution. It is particularly useful for developers, linguists, and researchers interested in historical language patterns and word origins. -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
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LTEX Extension for VS Code
LTeX: Grammar/spell checker for VS Code using LanguageTool
...LTEX can be used standalone as a command-line tool, as a language server using the Language Server Protocol (LSP), or directly in various editors using extensions. LTEX currently supports BibTEX, ConTEXt, LATEX, Markdown, Org, reStructuredText, R Sweave, and XHTML documents. A classic use case of LTEX is checking scientific LATEX papers. -
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Statistics for Data Scientists
"Statistics for Data Scientists: 50 Essential Concepts"
...The code and materials are intended to help data scientists and analysts grasp statistical principles (e.g. inference, regressions, hypothesis testing, probability, confidence intervals) in contexts relevant to real data analysis tasks. The repository includes Jupyter notebooks, R scripts, worked examples, and possibly problem sets that illustrate how statistical methods are applied to real datasets. It aims to demystify the bridge between textbook statistics and empirical modeling by walking through assumption checking, visualization, interpreting outputs, and pitfalls of misuse. Throughout, the content emphasizes clarity and accessibility, showing not just how to run statistical tests or build models, but what they mean and when one method is preferred over another. -
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stat-cookbook
The probability and statistics cookbook
A compact “Probability and Statistics Cookbook” offering concise mathematical recipes for key statistical concepts—expectation, variance, distributions and inequalities—packaged as LaTeX and R-based executable documents.
