Search Results for "r&d" - Page 5
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Showing 3604 open source projects for "r&d"
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brms
brms R package for Bayesian generalized multivariate models using Stan
brms is an R package by Paul Bürkner which provides a high-level interface for fitting Bayesian multilevel (i.e. mixed effects) models, generalized linear / non-linear / multivariate models using Stan as the backend. It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). -
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pointblank
Data quality assessment and metadata reporting for data frames
With the pointblank package it’s really easy to methodically validate your data whether in the form of data frames or as database tables. On top of the validation toolset, the package gives you the means to provide and keep up-to-date with the information that defines your tables. For table validation, the agent object works with a large collection of simple (yet powerful!) validation functions. We can enable much more sophisticated validation checks by using custom expressions, segmenting... -
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CausalImpact
An R package for causal inference in time series
The CausalImpact repository houses an R package that implements causal inference in time series using Bayesian structural time series models. Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the intervention, and it divides the time horizon into “pre-intervention” and “post-intervention” periods. ... -
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Gaston.jl
A julia front-end for gnuplot
Gaston is a Julia package for plotting. It provides an interface to gnuplot, a powerful plotting package available on all major platforms. The current stable release is v1.1.0, and it has been tested with Julia LTS (1.6) and stable (1.8), on Linux. Gaston should work on any platform that runs gnuplot. -
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S.U.P.E.R.M.A.N.
S.U.P.E.R.M.A.N. optimizes the macOS software update experience
super is a compact, high-performance tiling window manager for macOS that offers keyboard-driven workflow efficiency similar to tiling window managers found in Linux environments like i3 or dwm. Written in Swift, super leverages macOS APIs to allow users to manage windows in grid-like patterns, enabling rapid arrangement, resizing, and navigation without reaching for the mouse. It’s ideal for developers, power users, and keyboard-centric users who want to boost productivity within macOS’s... -
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forecast
Forecasting Functions for Time Series and Linear Models
The forecast package is a comprehensive R package for time series analysis and forecasting. It provides functions for building, assessing, and using univariate forecasting models (e.g. ARIMA, exponential smoothing, etc.), tools for automatic model selection, diagnostics, plotting, forecasting future values, etc. It's widely used in statistics, economics, business forecasting, environmental science, etc. -
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Kotlin Explorer
Desktop tool to quickly explore disassembled Kotlin code
Kotlin Explorer is a desktop tool to quickly and easily disassemble Kotlin code. After launching Kotlin Explorer, type valid Kotlin code in the left pane, then click File > Decompile or use Cmd-Shift-D on macOS, Ctrl-Shift-D on Linux and Windows. The middle pane will show the Android DEX bytecode, and the right panel the native assembly resulting from ahead of time compilation (AOT). -
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harmonypy
Integrate multiple high-dimensional datasets with fuzzy k-means
Harmony is an algorithm for integrating multiple high-dimensional datasets. harmonypy is a port of the harmony R package by Ilya Korsunsky. Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq. -
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Elyra
Elyra extends JupyterLab with an AI centric approach
Elyra is a set of AI-centric extensions to JupyterLab Notebooks. The Elyra Getting Started Guide includes more details on these features. A version-specific summary of new features is located on the releases page. -
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nichenetr
NicheNet: predict active ligand-target links between interacting cells
nichenetr: the R implementation of the NicheNet method. The goal of NicheNet is to study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest. -
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rayshader
R Package for 2D and 3D mapping and data visualization
This is an R package designed for producing beautiful and interactive 2D and 3D visualizations — especially maps and terrain renderings — using elevation/gridded data and ray-tracing / hill-shading methods. At its core, rayshader takes a matrix of elevations and applies shading, texture, ambient occlusion, overlays, and light modeling (ray shade, lambertian shading, etc.) to produce realistic relief maps. -
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rvest
Simple web scraping for R
rvest helps you scrape (or harvest) data from web pages. It is designed to work with magrittr to make it easy to express common web scraping tasks, inspired by libraries like beautiful soup and RoboBrowser. If you’re scraping multiple pages, I highly recommend using rvest in concert with polite. The polite package ensures that you’re respecting the robots.txt and not hammering the site with too many requests. -
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Liger Kernel
Efficient Triton Kernels for LLM Training
Liger Kernel is a unified kernel developed by LinkedIn to streamline data science and machine learning workflows across different languages and tools. It provides a consistent interface for running code in various languages (such as Python, R, SQL) within a single Jupyter-like environment, enhancing productivity and collaboration for data scientists working in mixed-language projects. -
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ArchCUT3-D
ArchCUT3-D: 3-D Analysis of Incised Archeological Surfaces
Software developed to precisely evaluate the 3-D micromorphological characteristics of archaeological surface incisions. Analysis based on a continuous 3-D slice sequence from a chosen range within the incision path. Measurements and shapes of individual slices can be extracted. ArchCUT3-D’s interface is designed to provide a computational and mathematical analysis of engravings to a wide audience. -
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httr
httr: a friendly http package for R
httr is superseded: only changes necessary to keep it on CRAN will be made. We recommend using httr2 instead. The aim of httr is to provide a wrapper for the curl package, customized to the demands of modern web APIs. Functions for the most important http verbs: GET(), HEAD(), PATCH(), PUT(), DELETE() and POST(). Automatic connection sharing across requests to the same website (by default, curl handles are managed automatically), cookies are maintained across requests, and an up-to-date... -
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RBush
High-performance JavaScript R-tree-based 2D spatial index
RBush is a high-performance JavaScript library for 2D spatial indexing of points and rectangles. It's based on an optimized R-tree data structure with bulk insertion support. Spatial index is a special data structure for points and rectangles that allows you to perform queries like "all items within this bounding box" very efficiently (e.g. hundreds of times faster than looping over all items). It's most commonly used in maps and data visualizations. The demos contain visualization of trees generated from 50k bulk-loaded random points. ... -
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ggraph
Grammar of Graph Graphics
ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data. -
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tidyr
Tidy Messy Data
tidyr is a core tidyverse package designed to help reshape and clean messy datasets into tidy data—i.e., data frames where each variable is a column, each observation is a row, and each value is a cell. -
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esquisse
RStudio add-in to make plots interactively with ggplot2
The purpose of this add-in is to let you explore your data quickly to extract the information they hold. You can create visualization with {ggplot2}, filter data with {dplyr} and retrieve generated code. This addin allows you to interactively explore your data by visualizing it with the ggplot2 package. It allows you to draw bar plots, curves, scatter plots, histograms, boxplot and sf objects, then export the graph or retrieve the code to reproduce the graph. This addin allows you to... -
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Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. ... -
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OneDrive Client for Linux
#1 Free OneDrive Client for Linux
A free Microsoft OneDrive Client for Linux, which supports OneDrive Personal, OneDrive for Business, OneDrive for Office365 and Sharepoint, and fully supports Azure National Cloud Deployments (Microsoft Cloud for US Government, Microsoft Cloud Germany, Azure and Office 365 operated by 21Vianet in China). This powerful and highly configurable OneDrive Client for Linux is simple to use and runs on all major Linux distributions such as Debian, Ubuntu, Mint, Manjaro, SuSE, OpenSuSE, Fedora,... -
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Polars
Dataframes powered by a multithreaded, vectorized query engine
...It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts. -
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DataFrame
C++ DataFrame for statistical, Financial, and ML analysis
This is a C++ analytical library designed for data analysis similar to libraries in Python and R. For example, you would compare this to Pandas, R data.frame, or Polars. You can slice the data in many different ways. You can join, merge, and group-by the data. You can run various statistical, summarization, financial, and ML algorithms on the data. You can add your custom algorithms easily. You can multi-column sort, custom pick, and delete the data. -
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Apktool
A tool for reverse engineering Android apk files
...It could be used for localizing, adding some features or support for custom platforms, analyzing applications and much more. The decode option on Apktool can be invoked either from d or decode. In order to run a rebuilt application. You must resign the application. Android documentation can help with this. As you probably know, Android apps utilize code and resources that are found on the Android OS itself. These are known as framework resources and Apktool relies on these to properly decode and build apks. -
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Avalonia
A cross-platform UI framework for .NET
...Clone the source today to dig deeper. The free VS extension provides everything needed to start, including a XAML previewer. JetBrains deep understanding of Avalonia shines through with rich Rider and R# support. Deploy to the platforms you care about with ease. Leverage existing knowledge, code and packages to kickstart your project. Get the support your project needs with one of our commercial support agreements. Help you can count on. JetBrains delivers huge productivity gains for Avalonia developers.
