Search Results for "environment-modules" - Page 2
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Showing 216 open source projects for "environment-modules"
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ipychart
The power of Chart.js with Python
Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive, and modular and are displayed directly in the output of the cells of your jupyter notebook environment. Charts are fully interactive, you can hover it to display tooltips and select the information you want to see directly from the output cell of your notebook. All the types of charts present in Chart.js are exposed in ipychart. Even complex features such as mixed-types charts are available. Charts are highly customizable and all Chart.js options are available in ipychart. ... -
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JuliaWorkshop
Intensive Julia workshop that takes you from zero to hero
This is an intensive workshop for the Julia language, composed out of three 2-hour segments. It targets people already familiar with programming, so that the established basics such as for-loops are skipped through quickly and efficiently. Nevertheless, it assumes only rudimentary programming familiarity and does explain concepts that go beyond the basics. The goal of the workshop is to take you from zero to hero (regarding Julia): even if you know nothing about Julia, by the end you should... -
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errsole.js
Collect, Store, and Visualize Logs with a Single Module
Errsole is an open-source logger for Node.js. It has a built-in web dashboard to view, filter, and search your app logs. -
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Wflow.jl
Hydrological modeling
Wflow is Deltares’ solution for modeling hydrological processes, allowing users to account for precipitation, interception, snow accumulation and melt, evapotranspiration, soil water, surface water and groundwater recharge in a fully distributed environment. Successfully applied worldwide for analyzing flood hazards, drought, climate change impacts and land use changes, wflow is growing to be a leader in hydrology solutions. Wflow is conceived as a framework, within which multiple distributed model concepts are available, which maximizes the use of open earth observation data, making it the hydrological model of choice for data-scarce environments. ... -
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ReinforcementLearning.jl
A reinforcement learning package for Julia
...Facilitate reproducibility from traditional tabular methods to modern deep reinforcement learning algorithms. Provide elaborately designed components and interfaces to help users implement new algorithms. A number of built-in environments and third-party environment wrappers are provided to evaluate algorithms in various scenarios. -
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CUDA.jl
CUDA programming in Julia
High-performance GPU programming in a high-level language. JuliaGPU is a GitHub organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well-positioned to productively program hardware accelerators like GPUs without sacrificing performance. The latest development version of CUDA.jl requires Julia 1.8 or higher. If you are using an older version of Julia, you need to use a previous version of CUDA.jl. This will... -
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Go Recipes
Collection of handy tools for Go projects
...Works best for a small number of packages, for large projects use grep to narrow down subgraph. Collect all the licenses or check if you can use the project for example in a proprietary or commercial environment. Tell Go compiler which versions of upstreams to include in your build. Tell all users of your module how to deal with versions of your module. -
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AAChartKit
Modern declarative data visualization chart framework
AAChartKit is an elegant and friendly (user-friendly && enviroment-friendly) chart framework for iOS, based on the open source Highcharts JS libraries. AAChartKit is extremely powerful, easy to configure and a pleasure to use. Currently AAChartKit includes support for the following chart types: column chart, bar chart, area chart, area spline chart, line chart, spline chart, radar chart, polar chart, pie chart, bubble chart, pyramid chart, funnel chart, column range and area range chart.... -
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AAChartKit Swift
An elegant modern declarative data visualization chart framework
An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. AAInfographics is the Swift language version of AAChartKit which is object-oriented, a set of easy-to-use, extremely elegant graphics drawing controls,based on the popular open source... -
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Sysdig
Linux system exploration and troubleshooting tool
Continuously assess cloud security posture by flagging misconfigurations and suspicious activity. Consolidate container and host scanning in a single workflow. Automate scanning locally in your CI/CD tools without images leaving your environment and block vulnerabilities pre-deployment. Visualize all network communication across apps and services. Apply microsegmentation by automating Kubernetes-native network policies. Unify threat detection and incident response across containers, Kubernetes, and cloud with out-of-the-box Falco rules leveraging syscalls, Kubernetes audit logs and cloud logs. ... -
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Whorld
psychedelic sacred geometry visualizer
Whorld is a free, open-source visualizer for sacred geometry. It uses math to create a seamless animation of mesmerizing psychedelic images. You can VJ / veejay with it, make unique digital artwork with it, or sit back and watch it like a screensaver -
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NeuroSuite
Klusters, NeuroScope and NDManager
...NeuroScope is an advanced viewer for electrophysiological and behavioral data: it can display local field potentials (EEG), neuronal spikes, behavioral events, as well as the position of the animal in the environment. It also features limited editing capabilities. NDManager (Neurophysiological Data Manager) is a simple graphical application designed to help neurophysiologists manage their experimental recording parameters (e.g., number of channels and sampling rate of the acquisition system) and process their data (data filtering, spike extraction, PCA, etc.) -
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GDS3D
Interactive 3D Layout Viewer for GDSII
GDS3D is a cross-platform 3D hardware accelerated viewer for chip layouts. Read standalone GDS files or use the Cadence plugin for easy integration with your Virtuoso environment. Developed by PhDs of the IC-Design Group, University of Twente, The Netherlands The GDS3D project is also hosted on Github: https://github.com/icdut24/GDS3D, but currently not actively maintained by us. Forks can be found at https://github.com/trilomix/GDS3D and https://github.com/skuep/GDS3D -
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OpenSCAD Graph Editor
OpenSCAD Graph Editor
OpenSCAD Graph Editor is a graphical user interface for OpenSCAD that allows you to create 3D models by connecting nodes in a graph. The editor will automatically generate OpenSCAD code for you. It integrates with the OpenSCAD program so you can preview your models in real-time while you are editing the graph. Please check the manual to find out how to install and use the program. -
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OSHMI - Open Substation HMI
SCADA HMI for substations, IoT and automation applications
Now with IEC61850 support! This project combines existing open source projects and tools to create a very capable, mobile and cloud-friendly HMI system that can rival proprietary software. This approach makes it possible to join forces of each project (Chromium, SVG/HTML5, PHP, Lua, SQLite, Inkscape, Lib61850, OpenDNP3, Nginx, Vega, PostgreSQL, Grafana,…) to achieve a great set of open, evergreen, modular and customizable tools for building great HMIs for automation projects. This is not... -
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PyCall.jl
Package to call Python functions from the Julia language
Package to call Python functions from the Julia language. This package provides the ability to directly call and fully interoperate with Python from the Julia language. You can import arbitrary Python modules from Julia, call Python functions (with automatic conversion of types between Julia and Python), define Python classes from Julia methods, and share large data structures between Julia and Python without copying them. -
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Algorithm Visualizer
Interactive Online Platform that Visualizes Algorithms from Code
...The repo collects short programs (originally a set of shell and Ruby scripts) and many community contributed ports in other languages to show “how you might automate X” — for example sending a quick SMS, firing off an email, or triggering a coffee maker — with examples and scheduling snippets included. The README explains each example, lists required environment variables or credentials (e.g., Twilio/Gmail where applicable), and gives cron examples so readers can run the scripts in a real environment. The project is intentionally informal and educational: it’s meant for experimentation, learning language-interop, and having fun rather than production-grade automation. Many implementations exist across languages (shell, Ruby, Python, Node, PowerShell, Go, Java, and more) and contributors are encouraged to add further -
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Visdom
A tool for creating, organizing, and sharing data visualizations
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code. Visdom has... -
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DataMelt
Computation and Visualization environment
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. -
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CliMA Land
Everything within the Land model
...CliMA Land is a highly modular platform to promote research at different scales from tissue to organ, whole plant, and ecosystem. Therefore, we deliver CliMA Land via a patch of packages (also referred to as sub-modules) to reduce the time used to initialize a research project. As a result, the repository is more a collection of tutorials and examples for users, rather than a place to store the code for all sub-modules. This project is supposed to be a community effort, leveraging all the work that has been done in Land Surface Modeling from various groups around the world. ... -
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Weave Scope
Monitoring, visualization and management for Docker and Kubernetes
Understand your application quickly by seeing it in a real-time interactive display. Pick open-source or cloud-hosted options. Weave Scope automatically detects processes, containers, hosts. No kernel modules, no agents, no special libraries, no coding. Seamless integration with Docker, Kubernetes, DCOS and AWS ECS. See your Docker hosts, containers and services in real-time. Easily identify and correct issues to ensure the stability and performance of your containerized applications. View metrics, tags and metadata within the context of a process, container, service or host. ... -
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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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The Python Computer Graphics Kit is a collection of Python modules that contain the basic types and functions to be able to create 3D computer graphics images (focusing on Pixar's RenderMan interface).
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TSNE-CUDA
GPU Accelerated t-SNE for CUDA with Python bindings
This repo is an optimized CUDA version of FIt-SNE algorithm with associated python modules. We find that our implementation of t-SNE can be up to 1200x faster than Sklearn, or up to 50x faster than Multicore-TSNE when used with the right GPU. You can install binaries with anaconda for CUDA version 10.1 and 10.2 using conda install tsnecuda -c conda-forge. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions. ... -
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RayTracer.jl
Differentiable RayTracing in Julia
This package was written in the early days of Flux / Zygote. Both these packages have significantly improved over time. Unfortunately, the current state of this package of has not been updated to reflect those improvements. It also seems that it might be better to gradually transition to defining the adjoints directly using ChainRules. A Ray Tracer written completely in Julia. This allows us to leverage the AD capabilities provided by Zygote to differentiate through the Ray Tracer.
