Search Results for "git:/git.code.sf.net/p/docfetcher/code" - Page 35
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Showing 1162 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Haxl
Haskell library that simplifies access to remote data
...Haxl can automatically batch multiple requests to the same data source, request data from multiple data sources concurrently, cache previous requests, and memoize computations. Having all this handled for you behind the scenes means that your data-fetching code can be much cleaner and clearer than it would otherwise be if it had to worry about optimizing data-fetching. To use Haxl in your own application, you will likely need to build one or more data sources: the thin layer between Haxl and the data that you want to fetch, be it a database, a web API, a cloud service, or whatever. There is a generic datasource in "Haxl.DataSource.ConcurrentIO" that can be used for performing arbitrary IO operations concurrently, given a bit of boilerplate to define the IO operations you want to perform. -
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Fusuma library
Instagram-like photo browser and a camera feature
Fusuma is a Swift library that provides an Instagram-like photo browser with a camera feature using only a few lines of code. You can use Fusuma instead of UIImagePickerController. It also has a feature to take a square-sized photo. -
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C++ Core Guidelines
The C++ Core Guidelines are a set of tried-and-true guidelines
...Enforcement is a central theme: many rules are designed to be checkable by static analysis tools and linters so teams can automate compliance. As a community artifact, it evolves with the language standard, offering a practical compass for teams upgrading legacy code or establishing standards for greenfield projects. -
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TensorFlow World
Simple and ready-to-use tutorials for TensorFlow
This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high... -
Get full visibility and control over your tasks and projects with Wrike.Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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json-forms
JSON Schema to HTML form generator, supporting dynamic subschemas
JSON Schema to HTML form generator, supporting dynamic subschemas (on-the-fly resolution). Extensible and customizable library with zero dependencies. Bootstrap add-ons provided. This library supports dynamic schemas, that is, subschemas that can change depending on the value of other parts of the data. This allows the creation of dynamic forms that vary their shape depending on the values entered by the user. This is extremely useful for big autogenerated schemas, that aggregate lots of... -
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Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and a great community of contributors that continue to make Caffe state-of-the-art in both code and models. ... -
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egjs
Javascript components group that brings easiest way to build web apps
egjs is Javascript components group that brings easiest and fastest way to build a web application in your way. -
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Corrode
C to Rust translator
Corrode is an experimental translator that converts C code into Rust, intended to help migrate existing C codebases toward safer Rust idioms. It parses C, maps C types and constructs into Rust equivalents, and generates code that compiles under rustc, introducing unsafe only when necessary. The tool seeks to produce readable Rust that a developer can then refine by hand, rather than a perfect one-to-one mechanical translation. -
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Tiny Constraints
Nothing but sugar
TinyConstraints is the syntactic sugar that makes Auto Layout sweeter for human use. -
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BWEM
Fast and robust map analyser for Brood War.
Brood War Easy Map is a C++ library that analyses Brood War's maps and provides relevant information such as areas, choke points and base locations. It is built on top of the BWAPI library. It first aims at simplifying the development of bots for Brood War, but can be used for any task requiring high level map information. It can be used as a replacement for the BWTA2 add-on, as it performs faster and shows better robustness while providing similar information. -
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Grenade
Deep Learning in Haskell
Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only the layers of the network but also the shapes of data that are passed between the layers. ... -
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VE_AVR C++ Class Library
Vanyamba Electronics library of C++ Classes for AVR.
VE_AVR C++ Class Library is the extendable set of classes that describes in C++ programmming language AVR8 microcontrollers functions. This library is not official software, completely made on microcontrollers datasheets. Especially for Arduino users VE_AVR Library released as VEduino Library. -
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The Elixir Style Guide
A community driven style guide for Elixir
...Please feel free to make pull requests and suggestions, and be a part of Elixir's vibrant community. If you're looking for other projects to contribute to please see the Hex package manager site. Elixir v1.6 introduced a Code Formatter and Mix format task. The formatter should be preferred for all new projects and source code. The rules in this section are applied automatically by the code formatter, but are provided here as examples of the preferred style. Use Unix-style line endings (*BSD/Solaris/Linux/OSX users are covered by default, Windows users have to be extra careful). ... -
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Icon Font to PNG
Python script (and library) for exporting icons from icon fonts
...There’s also font-awesome-to-png script for backward compatibility with the first iteration of the concept. You can use IconFont (and IconFontDownloader for that matter) directly inside your Python project. There's no proper documentation as of now, but the code is commented and should be pretty straightforward to use. -
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Python in neuroscience
Collection of tutorials about methods of computational neuroscience
"Python in neuroscience" is a collection of collaboratively edited tutorials on computational neuroscience methods using Python language. Each tutorial is presented as a literate programming tutorial mixing text, code, and figures. The tutorials offer an introduction to basic methods of computational neuroscience and scientific programming in Python. They are authored in the environment called Jupyter Notebook -- you can even try it in your browser. -
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Projects-Solutions
Links to others' solutions to Projects
...It is effectively a community-driven gallery of implementations of the tasks defined in the “Projects” list, allowing learners to compare their solutions, study others’ code, and improve their approach. The repository aggregates links and resources rather than necessarily hosting all code directly; it serves as an index. The README makes clear that the goal is to build a repository of implementations across languages, showing that the same problem can be solved in Python, Java, Go, JavaScript, C++, etc. ... -
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BTCore
A Collection of Useful Java/Swing Code
...See features for some examples of code you'll find in BTCore. -
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MEAN
For simple and scalable fullstack js applications
...The mean stack is intended to provide a simple and fun starting point for cloud native fullstack javascript applications. MEAN is a set of Open Source components that together, provide an end-to-end framework for building dynamic web applications; starting from the top (code running in the browser) to the bottom (database). The stack is made up of MongoDB, with document database, used by your back-end application to store its data as JSON (JavaScript Object Notation) documents. Also with Express (sometimes referred to as Express.js), with back-end web application framework running on top of Node.js. As well as Angular (formerly Angular.js), which is a front-end web app framework that runs your JavaScript code in the user's browser, allowing your application UI to be dynamic. -
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...The design is based on the same ideas as were used for the Ddr-Z8E device driver library (see http://ddrz8e.sourceforge.net/). Heavy usage of hardcoded invariants, constant folding/propagation and inlining ensures both tight code and high performance. Type safe enums (C++11) provides an additional level of type safety.
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Investing
Investing Returns on the Market as a Whole
...The visualizations show “return curves” for different starting years and durations, and also illustrate the probability of losses over various time horizons. The project is centered on transparency in finance and encourages users to examine the data themselves; the code is shared in R and uses ggplot2 for plotting. -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
...These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. The repository contains reference code accompanying the research paper node2vec: Scalable Feature Learning for Networks (KDD 2016). It allows researchers and practitioners to apply node2vec to various graph datasets and evaluate embedding quality on downstream tasks. By bridging ideas from graph theory and word embedding models, this project demonstrates how graph-based machine learning can be made efficient and flexible. -
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WrapImaJ
Multi-platform API for Image Processing systems in Life Sciences
...The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. In it's current form, it only wraps basic functionalities of ImageJ. The developers of WrapImaJ intend the library to support compatibilty with the main imaging systems available in the Java language and broadly used in the field of life sciences. -
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CSSPIN
CSS Spinners and Loaders, Modular, Customizable and HTML Elements
CSS Spinners and Loaders - Modular, Customizable, and Single HTML Element Code for Pure CSS Loader and Spinner. CSSPIN Library has a different set of interactive Pure CSS Loaders and Spinners which are built on the top of LESS Preprocessor. Individual Pure CSS Loader or Spinner can be easily customized and can be embedded with a Single HTML Element in your next Dev Project. -
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jClap
Java Command Line Argument Parser
This is a library for parsing command line arguments passed into the java code.
