Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 44
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Showing 4448 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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Transforming NetOps Through No-Code Network Automation - NetBrainNetBrain, founded in 2004, provides a powerful no-code automation platform for hybrid network observability, allowing organizations to enhance their operational efficiency through automated workflows. The platform applies automation across three key workflows: troubleshooting, change management, and assessment.
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Create a personalized AI chatbot for each team in minutesQueryPal is the lifeline your team needs. Our AI chatbot integrates seamlessly with your communication channels, using advanced language understanding to identify and auto-answer repetitive questions — in seconds.
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Scanmap3D
3D Network Traffic Visualisation
A java-based 3D Visualisation tool for analysing network traffic. Written with jMonkeyEngine. -
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Quan is designed to model physical quantities in C++ programs. Advantages include automated dimensional analysis checking, automatic unit conversions, self documentation of code.
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stats Koa
Request statistics middleware that stores response times, status code
Request statistics middleware. Request statistics middleware that stores response times, status code counts, etc. -
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Zarja
Agent-based simulation toolkit
It is an open source scientific library that is focused on multi-agent simulations on graphs. It prepares basic toolkit for agents, models, timers, graphs, nodes and edges. It is also accompanied with tools for data processing. -
Secure your business by securing your people.Take the guesswork out of password management, shadow IT, infrastructure, and secret sharing so you can keep your people safe and your business moving.
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Kale
Kubeflow’s superfood for Data Scientists
...Still, developing and maintaining Kubeflow workflows can be hard for data scientists, who may not be experts in working orchestration platforms and related SDKs. Additionally, data science often involve processes of data exploration, iterative modelling and interactive environments (mostly Jupyter notebook). -
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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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Open Grid Analysis and Display System
OpenGrADS provides extensions and interfaces for GrADS.
The Grid Analysis and Display System (GrADS) is an interactive desktop tool for easy access, manipulation, and visualization of earth science data. The OpenGrADS Project seeks to develop advanced interfaces and extensions based on the main GrADS engine. -
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Queryverse.jl
A meta package for data science in Julia
Queryverse.jl is a meta package that pulls together a number of packages for handling data in Julia. -
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RigidBodyDynamics.jl
Julia implementation of various rigid body dynamics
RigidBodyDynamics.jl is a rigid body dynamics library in pure Julia. It aims to be user friendly and performant, but also generic in the sense that the algorithms can be called with inputs of any (suitable) scalar types. This means that if fast numeric dynamics evaluations are required, a user can supply Float64 or Float32 inputs. However, if symbolic quantities are desired for analysis purposes, they can be obtained by calling the algorithms with e.g. SymPy.Sym inputs. If gradients are... -
Peer to Peer Recognition Brings Teams TogetherCreate a positive and energetic workplace environment with Motivosity, an innovative employee recognition and engagement platform. With Motivosity, employees can give each other small monetary bonuses for doing great things, promoting trust, collaboration, and appreciation in the workplace. The software solution comes with features such as an open-currency open-reward system, insights and analytics, dynamic organization chart, award programs, milestones, and more.
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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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Chess.jl
Julia chess programming library
A Julia chess programming library. This package contains various utilities for computer chess programming. There are functions for creating and manipulating chess games, chess positions and sets of squares on the board, for reading and writing chess games in the popular PGN format (including support for comments and variations), for creating opening trees, and for interacting with UCI chess engines. The library was designed for the purpose of doing machine learning experiments in computer... -
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VMS Draw
user-friendly access to the latest computational spectroscopy tools
VMS Draw provides general utilities (e.g. normalization, conversion, and other manipulations of several spectra at the same time) and a flexible graphical user interface (GUI) for an easy use by non-specialists which allows a seamless flow of information between experimentally and theoretically oriented researchers. Finally, it permits effective interactions with other electronic structure codes [e.g., nuclear magnetic resonance (NMR), microwave] even if Gaussian 16 offers the widest set... -
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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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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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textures.js
SVG patterns for data visualization
Textures.js is a JavaScript library for creating SVG patterns. Made on top of d3.js, it is designed for data visualization. Import textures.js from NPM. You can also use textures.js in your HTML page with a <script> tag by downloading textures.js to a local folder or by using the Unpkg CDN network. Textures.js can be used alongside d3. -
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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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Data Science Notes
Curated collection of data science learning materials
Data Science Notes is a large, curated collection of data science learning materials, with explanations, code snippets, and structured notes across the typical end-to-end workflow. It spans foundational math and statistics through data wrangling, visualization, machine learning, and practical project organization. The content emphasizes hands-on understanding by pairing narrative notes with runnable examples, making it useful for both self-study and classroom settings. ... -
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ReplMaker.jl
Simple API for building repl modes in Julia
The idea behind ReplMaker.jl is to make a tool for building (domain-specific) languages in Julia. Suppose you've invented some language called MyLang and you've implemented a parser that turns MyLang code into Julia code which is then supposed to be executed by the Julia runtime. With ReplMaker.jl, you can simply hook your parser into the package and ReplMaker will then create a REPL mode where end users just type MyLang code and have it executed automatically. My hope is for this to be... -
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GIER SQL Pivot Table Reports
.NET app for Reporting, Data visualization, Analysis (MS SQL platform)
Application for reporting and data visualization with possibility to store queries (data sets for reports), settings of fields and parameters. Easy to use, universal, dynamic, desktop,Windows, lightweight application. Displaying of the list of reports to choose. It is used to query MS SQL database and presentation of data in the form of a report ( subtotals and grouping), Pivot Chart or Pivot Table. -
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jnotebook_reader
An awesome viewer to browse and render Jupyter Notebooks
An awesome viewer to browse and render Jupyter Notebooks from local, Amazon S3, Google Cloud Storage, or MinIO. Browse and render Jupyter Notebooks from local, Amazon S3, Google Cloud Storage, or MinIO. Register and access multiple directories(or buckets) at the same time. 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. -
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GtkDatabox
A GTK+-3 widget to display data
GtkDatabox is a widget for live display of large amounts of fluctuating numerical data. Data presentation (e.g. on linear or logarithmic scales, as dots or lines, with markers/labels) as well as user interaction (e.g. measuring distances) is easy. -
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PINCIS
PINCIS.pl is a Perl bioinf. script to analyze PICS data
PINCIS.pl (PIcs N-/C-terminal Inferred Substrates perl script) is a small, command line tool to designate and analyze PICS (Schilling et al., Nat. Protocols, 2011) data to gain the prime and non-prime site specificity of proteases. Thus, the script filters given peptide lists for library peptides (generated by the digestion protease in the proteomics workflow rather then the protease of interest) and prints out lists of inferred N- and C-terminal cleavage window extensions which can be concurrently used to generate cleavage specificity visualizations like the iceLogo (https://iomics.ugent.be/icelogoserver/create). -
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Savors is a visualization framework that supports the ingestion of data streams created by arbitrary command pipelines. Any number of data streams can be shown synchronized by time in the same or different views, which can be arranged in any layout. These capabilities combined with a powerful parallelization mechanism and interaction models already familiar to administrators allows Savors to display complex visualizations of data streamed from many different systems with minimal effort.
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Learn Julia the Hard Way
Learn Julia the hard way
The Julia base package is pretty big, although at the same time, there are lots of other packages around to expand it with. The result is that on the whole, it is impossible to give a thorough overview of all that Julia can do in just a few brief exercises. Therefore, I had to adopt a little 'bias', or 'slant' if you please, in deciding what to focus on and what to ignore. Julia is a technical computing language, although it does have the capabilities of any general-purpose language and...
