Search Results for "dynamicreports-examples" - Page 93
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Showing 3980 open source projects for "dynamicreports-examples"
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VSCode-LaTeX-Inkscape
A way to integrate LaTeX, VS Code, and Inkscape in macOS
A way to integrate LaTeX, VS Code, and Inkscape in macOS. I use LaTeX heavily for both academic work and professional work, and I think I'm quite proficient in terms of typing things out in LaTeX. But when I see the mind-blowing blog posts from Gilles Castel (RIP)-How I'm able to take notes in mathematics lectures using LaTeX and Vim and also How I draw figures for my mathematical lecture notes using Inkscape, I realize that I'm still far from fast, so I decided to adapt the whole setup from... -
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Jraph
A Graph Neural Network Library in Jax
Jraph (pronounced “giraffe”) is a lightweight JAX library developed by Google DeepMind for building and experimenting with graph neural networks (GNNs). It provides an efficient and flexible framework for representing, manipulating, and training models on graph-structured data. The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time... -
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CTeX-kit
Macro Packages and Scripts for Chinese TeX users
CTeX-kit is a collection of TeX/LaTeX/ConTeXt macro packages, related scripts, and resource files made specifically for Chinese TeX users, especially Mandarin users. This project aims to bring together many existing efforts including ctex, xeCJK, zhspacing, LuaTeX-related Chinese support, etc. -
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Pattern Recognition and Machine Learning
Repository of notes, code and notebooks in Python
...The project recreates many of the mathematical concepts and diagrams from the book using executable Jupyter notebooks, allowing readers to experiment directly with the algorithms described in the text. Each section of the repository corresponds to chapters in the book and includes code examples that demonstrate statistical modeling, machine learning methods, and Bayesian inference techniques. These notebooks provide visualizations and computational demonstrations that help clarify complex topics such as probabilistic models, neural networks, kernel methods, and graphical models. The repository also includes implementations of sampling methods, clustering algorithms, and dimensionality reduction techniques used throughout machine learning research. -
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Embedded Artistry Templates
Document templates for open-source projects
This repository provides a set of documentation, architecture, and project templates for embedded systems and open-source software projects. Its intent is to help maintainers include consistent README, CONTRIBUTING, issue templates, CI pipeline examples, architecture documents, requirement spec templates, and other project scaffolding artifacts. Business-level documentation templates (risk profiles, stakeholder maps). Issue and Pull Request templates. Architecture/requirements documentation templates. CI/build pipeline skeletons (e.g. Jenkins example) -
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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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N_m3u8DL-CLI
Simple CLI tool to download m3u8 streams to MP4/TS with rich options
N_m3u8DL-CLI is a cross-platform command-line downloader for m3u8 (HLS) playlists. It converts streams to MP4 or TS and offers rich command-line options. While the original CLI uses .NET Framework (Windows), its successor N_m3u8DL-RE adds true cross-platform support for Windows, Linux, and macOS. Common in media workflows for downloading and converting streaming video. -
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SuperEdge
An edge-native container management system for edge computing
SuperEdge is an open-source container management system for edge computing to manage compute resources and container applications in multiple edge regions. These resources and applications, in the current approach, are managed as one single Kubernetes cluster. A native Kubernetes cluster can be easily converted to a SuperEdge cluster. SuperEdge extends the powerful container orchestration and scheduling capabilities of Kubernetes to the edge. It makes non-intrusive enhancements to Kubernetes... -
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Android Script Creator
Create\Open Android update-script, Fast and Easily.
This program is designed to simplify the creation of scripts (update.zip) for Android Can not download? - https://sites.google.com/view/osasc/download [Requirements for Windows] Systems: Windows XP/Vista/7/8/8.1/10 x86\x64 Hard disk space: 200 mb Installed Java JDK (is not necessarily) Not a long path to the program (Java will stop signing) [Requirements for Linux \ MAC OS \ Solaris] (and anywhere can run Wine) You must install Wine, from the site www.winehq.org or from... -
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koa-useragent
Koa user-agent middleware
Fast Middleware exposing user-agent for koa.js based on express-useragent. -
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Hello AI World
Guide to deploying deep-learning inference networks
...We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. Follow these directions to integrate deep learning into your platform of choice and quickly develop a proof-of-concept design. -
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pyntcloud
pyntcloud is a Python library for working with 3D point clouds
This page will introduce the general concept of point clouds and illustrate the capabilities of pyntcloud as a point cloud processing tool. Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system. Accurate 3D point clouds can nowadays be (easily and... -
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ISLR-python
An Introduction to Statistical Learning
ISLR-python is an educational repository that provides Python implementations and notebooks corresponding to examples and exercises from the book An Introduction to Statistical Learning. The project recreates tables, figures, and laboratory exercises originally presented in the book so that readers can explore the concepts using Python rather than the original R environment. The repository includes Jupyter notebooks demonstrating statistical learning methods such as linear regression, classification algorithms, resampling methods, and model evaluation techniques. ... -
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Reskin Sensor Library
ReSkin Sensor Interfacing Library
Soft sensors have continued growing interest in robotics, due to their ability to enable both passive conformal contact from the material properties and active contact data from the sensor properties. However, the same properties of conformal contact result in faster deterioration of soft sensors and larger variations in their response characteristics over time and across samples, inhibiting their ability to be long-lasting and replaceable. ReSkin is a tactile soft sensor that leverages... -
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SkePi
Data parallel and stream parallel skeletons implemented in erlang.
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Machine Learning Glossary
Machine learning glossary
...Many pages include diagrams or code examples to illustrate how algorithms work in practice. Because the project emphasizes accessibility, it is particularly useful for beginners who want a conceptual overview of machine learning terminology before diving into more technical research papers. -
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mlscraper
ML-based HTML scraper that learns extraction rules from examples
mlscraper is a Python library designed to automatically extract structured data from HTML pages without requiring developers to manually write CSS selectors or XPath rules. Instead of defining extraction logic by hand, users provide a few examples of the data they want to retrieve from a webpage. It analyzes those examples within the HTML document and determines patterns or rules that can be used to extract the same type of information from similar pages. Once trained, the generated scraper can process new pages and return the extracted data in structured formats such as dictionaries or lists. ... -
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rrule.js
JS library for working with recurrence rules for calendar dates
JavaScript library for working with recurrence rules for calendar dates as defined in the iCalendar RFC and more. rrule.js supports recurrence rules as defined in the iCalendar RFC, with a few important differences. It is a partial port of the rrule module from the excellent python-dateutil library. On top of that, it supports parsing and serialization of recurrence rules from and to natural language. -
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Binary Analysis Platform
Binary Analysis Platform
...BAP features its own domain-specific language, Primus Lisp, that is used for implementing analyses, specifying verification conditions, modeling functions (writing stubs) and even interfacing with the SMT solver. The toolkit repository includes various examples of program analysis tools that could be implemented with BAP and can be used as the starting point (in addition to the tutorial) for implementing custom analyses. BAP can be used as a framework with a single bap utility that is extended with plugins or it can be used as a library embedded in a user application, which could be written in OCaml. -
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org-fragtog
Automatically toggle Org mode LaTeX fragment previews
Automatically toggle Org-mode LaTeX fragment previews as the cursor enters and exits them. Org mode supports inline image previews of LaTeX fragments. These can be toggled with C-c C-x C-l. org-fragtog automates this, so fragment previews are disabled for editing when your cursor steps onto them, and re-enabled when the cursor leaves. -
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markdown-pdf
Markdown to PDF converter
Node module that converts Markdown files to PDFs. The PDF looks great because it is styled by HTML5 Boilerplate. What? - Yes! Your Markdown is first converted to HTML, then pushed into the HTML5 Boilerplate index.html. Phantomjs renders the page and saves it to a PDF. You can even customise the style of the PDF by passing an optional path to your CSS and you can pre-process your markdown file before it is converted to a PDF by passing in a pre-processing function, for templating. -
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nlpaug
Data augmentation for NLP
This Python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand Data Augmentation in NLP. Augmenter is the basic element of augmentation while Flow is a pipeline to orchestra multi augmenters together. -
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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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G2SConverter
Convert models from GoldSource engine to Source engine with AI
...An example of a processed texture is shown in the following image (parameters used: scaling-factor = 4 and deblur iterations = 4) besides upscaling and debluring the utility also generates normal maps for each texture. This is implemented using the DeepBump by HugoTiny model. Examples of normal maps are shown in the following images. -
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Klogg
Really fast log explorer based on glogg project
Klogg is an open source multi-platform GUI application to search through all kinds of text log files using regular expressions. It has started as fork of glogg project created by Nicolas Bonnefon and has evolved into a separate project with a lot of new features and improvements.
