Search Results for "libamd.so.1" - Page 5
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Showing 429 open source projects for "libamd.so.1"
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Gap.app
Gap.app is a frontend and distribution for GAP on macOS
A native Macintosh front-end and distribution for the GAP computer algebra system. It provides a Mac-like command editing environment and save/load, while making available graphical libraries compatible with xgap. -
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rayshade-mathematica
rayshade and POV for Mathematica Export + view
Beautifully Render* your Graphic3D and Shown or Manipulate right in the Front End (without Export to, ie 3DStudio Art Renderer, et al). For use with Mathematica 4.0 - 13.1. Makes file.ray or .pov that will look much like image in notebook except rendered. Works easily/automatically with many Graphics3D (and some Graphic) as well. However graphics in 13.1 is too big to comment on: many will work many not. Has many options to fix renders that aren't so auto. Now very portable... -
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vue-grid-layout
A draggable and resizable grid, for Vue.js.
...Automatic RTL support (resizing not working with RTL on 2.2.0). For legacy browsers, like IE11, use version 2.3.12-legacy. For Vue 2.1.10 and below use version 2.1.3. For Vue 1 use version 1.0.3. Ignore drag on certain elements and allow on others. Click and drag the dots on the corner of each item to reposition. -
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AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, and sparsity
AugmentedGaussianProcesses.jl is a Julia package in development for Data Augmented Sparse Gaussian Processes. It contains a collection of models for different gaussian and non-gaussian likelihoods, which are transformed via data augmentation into conditionally conjugate likelihood allowing for extremely fast inference via block coordinate updates. There are also more options to use more traditional variational inference via quadrature or Monte Carlo integration. -
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Bloxs
Build dashboards in Jupyter Notebook with numeric and chart boxes
Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook. -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a... -
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SandDance
Visually explore, understand, and present your data
By using easy-to-understand views, SandDance helps you find insights about your data, which in turn help you tell stories supported by data, build cases based on evidence, test hypotheses, dig deeper into surface explanations, support decisions for purchases, or relate data into a wider, real world context. SandDance uses unit visualizations, which apply a one-to-one mapping between rows in your database and marks on the screen. Smooth animated transitions between views help you to maintain context as you interact with your data. This new version of SandDance has been rebuilt from scratch with the goal of being modular, extensible, and embeddable into your custom applications. We are open and driven by the community through contributions, feature requests, and discussion. ... -
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DataStation Community Edition
App to easily query, script, and visualize data from every database
...It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all kinds of text and binary files. Need to join or munge data? Write embedded scripts as needed in languages like Python, JavaScript, R or SQL. All in one application. Build reports with graphs, charts and tables. Script against data. Cross-platform: Windows, macOS, and Linux. Easily fetch your data, wherever it is: 18 SQL and non-SQL databases, files, HTTP server. Over 20 supported databases out of the box including: PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, ClickHouse, Influx 1 (InfluxQL), Influx 2 (Flux), Prometheus, Elasticsearch, AWS Athena, Google BigQuery, Snowflake, Cassandra, Scylla, TimescaleDB, YugabyteDB, CockroachDB, CrateDB, QuestDB, and Airtable. -
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Geodesy.jl
Work with points defined in various coordinate systems
Geodesy is a Julia package for working with points in various world and local coordinate systems. The primary feature of Geodesy is to define and perform coordinate transformations in a convenient and safe framework, leveraging the CoordinateTransformations package. Transformations are accurate and efficient and implemented in native Julia code (with many functions being ported from Charles Karney's GeographicLib C++ library), and some common geodetic datums are provided for convenience. -
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QuickPlot
Simple user interface for gnuplot aimed for reflectometry data
Graphical user interface for gnuplot to create publication quality figure very quickly. It supports templates for fast formatting of graphics, different plot styles, insets, axis and label options. One important feature is storing metadata in png and pdf files that can be used to reload any graph saved with QuickPlot. -
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PlotVISOR
PlotVISOR is a visual assistant for interpreting contour plots.
PlotVISOR is a visual assistant for contour plots. By following the instructions (1) to (4) in the program window, users can map the legend of any contour plot and use it to identify values otherwise difficult to interpret. If "???" is displayed instead of a valid result, disable lighting enhancements (within your host software) and/or remap the calibration curve. PlotVISOR has been configured to accommodate mild lighting variation from rendering, but this may affect results by ±1 legend increment. -
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Semagrams.jl
A graphical editor for graph-like structures
...Legacy version built with typescript is in the legacy branch, and will not receive updates; new version with scala is now in the main branch. The core of Semagrams is just a library; in order to make it do things, one needs to create an "app" that uses it. Currently, the only app that is being developed is a Petri net editor, though this will soon change. In order to run the Petri net editor standalone, install Mill and npm, and then in one terminal in scala/ run mill --watch apps.petri.fullLinkJS and in another terminal in scala/ run npm run dev. ... -
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ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
This project provides the Julia code to generate figures in the book Reinforcement Learning: An Introduction(2nd). One of our main goals is to help users understand the basic concepts of reinforcement learning from an engineer's perspective. Once you have grasped how different components are organized, you're ready to explore a wide variety of modern deep reinforcement learning algorithms in ReinforcementLearningZoo.jl. -
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UE Viewer
Viewer and exporter for Unreal Engine 1-4 assets
...Please note that the "official" project's name is "UE Viewer", and a short unofficial name of the project is "model" (it was left from the older name "Unreal MODEL viewer"). UE Viewer is a viewer for visual resources of games made with Unreal engine. Currently, all engine versions (from 1 to 4) are supported. We are using our own build system to compile UE Viewer. You may find a Perl script in Tools/genmake. This script generates makefiles from some human-friendly project format. After that you may build generated makefile using 'nmake' for Visual Studio or 'make' for gcc. -
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Reexport.jl
Julia macro for re-exporting one module from another
Maybe you have a module X that depends on module Y and you want using X to pull in all of the symbols from Y. Maybe you have an outer module A with an inner module B, and you want to export all of the symbols in B from A. It would be nice to have this functionality built into Julia, but we have yet to reach an agreement on what it should look like. This short macro is a stopgap we have a better solution. -
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Temporal.jl
Time series implementation for the Julia language
...While still early in development, the overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages, while retaining the performance one expects from Julia. See the documentation for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data. -
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HSGlib.orbital
A gnuplot library to plot keplerian orbits and more
It is a gnuplot library that gathers a set of functions to deal with problems of celestial mechanics. It allows one to easily accomplish tasks such as: - Converting orbital elements into Cartesian coordinates and vice-versa - Evaluate orbital position as function of the flight time and vice-versa - Plotting keplerian orbits easily -
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StatsKit.jl
Convenience meta-package to load essential packages for statistics
This is a convenience meta-package that allows loading essential packages for statistics in one command. -
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MLDataUtils.jl
Utility package for generating, loading, and processing ML datasets
This package is designed to be the end-user facing front-end to all the data related functionality that is spread out across the JuliaML ecosystem. Most of the following sub-categories are covered by a single back-end package that is specialized on that specific problem. Consequently, if one of the following topics is of special interest to you, make sure to check out the corresponding documentation of that package. -
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Bridge.jl
A statistical toolbox for diffusion processes
Statistics and stochastic calculus for Markov processes in continuous time, include univariate and multivariate stochastic processes such as stochastic differential equations or diffusions (SDE's) or Levy processes. -
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jnotebook_reader
An awesome viewer to browse and render Jupyter Notebooks
...Show and allow to config ToC(Table of Contents) included in your Jupyter Notebook. Hide/show all codes in your Jupyter Notebook interactively. Generate a permanent link about your Jupyter Notebook. Download your Jupyter Notebook in one click. -
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Davinci
Davinci is a DVsaaS (Data Visualization as a Service) Platform
Davinci is oriented towards product managers, business people, data engineers, data analysts, data scientists, etc. It aims to provide a one-stop data visualization solution, which could be both independently used as a public cloud/private cloud and integrated into third-party systems as plugin. A simple configuration on Davinci UI can meet multiple visualization requirements. It also supports other visualization features like advanced interaction, industry analysis, pattern searching, social intelligence, etc. ... -
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ElectronDisplay.jl
An Electron.jl based figure and table display.
...When you load the package, it will push a new display onto the Julia display stack and from then on it will display any value that can be rendered as png, svg, vega, vega-lite or plotly in an electron-based window. This is especially handy when one works on the REPL and wants plots or tables to show up in a nice window. -
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Graph Capture
Fast 2D charting from raw data
The software was designed for suitable chart creation. From text files or programs, that haven't visual charts themselves, data is passed to "Graph Capture" and plotted there. But you have to write Perl RegEx expressions to extract X and Y-values from raw data. Otherwise, you can request suitable filter templates here https://www.facebook.com/vlad.dubov.77. For making RegEx expressions short docs are also included in the program. You can find "Help: regular expressions in Perl" in the... -
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GPlates
Interactive visualization of plate tectonics.
GPlates is a plate-tectonics program. Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts.