Search Results for "mac framework" - Page 15
Sort By:
Showing 553 open source projects for "mac framework"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
FlexibleParser_Java
Group of multi-purpose Java-converted-from-C# parsing libraries.
FlexibleParser (Java) is currently formed by the following independent libraries/parts: - UnitParser. It allows to easily deal with a wide variety of situations involving units of measurement. - NumberParser. It provides a common framework for all the .NET numeric types. AUTHORSHIP & COPYRIGHT I, Alvaro Carballo Garcia (varocarbas), am the sole author of each single bit of this code. All the contents of this repository can be considered public domain. For more information about my... -
2
FlexibleParser
FlexibleParser is a group of multi-purpose .NET parsing libraries.
FlexibleParser (C#/.NET) is currently formed by the following independent libraries/parts: - UnitParser. It allows to easily deal with a wide variety of situations involving units of measurement. - NumberParser. It provides a common framework for all the .NET numeric types. - DateParser. It enhances the default .NET date/time support. AUTHORSHIP & COPYRIGHT I, Alvaro Carballo Garcia (varocarbas), am the sole author of each single bit of this code. All the contents of this... -
3
PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
4
classList.js
Cross-browser element.classList
classList.js is a cross-browser JavaScript shim that provides the standard element.classList interface where it is missing or incomplete. It lets developers manipulate CSS class names through a token-based API instead of manually editing className strings. The implementation includes methods for adding, removing, checking, toggling, replacing, and retrieving individual class tokens. It also normalizes partial native implementations that accept only one token or lack the forced-state argument... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
5
UltraPlugin.js
A smart framework to developing sites and web applications
[This project has been discontinued but you can use ALL versions created] UltraPlugin.js is the ultra smart powerful union of a data library containing a large proportion of functions that allows the user to develop web sites and applications in a pleasant and fast way with a framework that creates several possibilities by joining Html, Css and Visual Basic Script with the JS itself and allowing several new types of elements. This project is totally open-source and has a natural development... -
6
ideabook
A growth engineering idea in action
ideabook is a collection curated by Phodal Huang containing a large number of hands-on practice project ideas for full-stack/growth engineering engineers. Each project is described with background, a showcase or story of need, and step-by-step implementation suggestions: from building a GIS system with Django+Haystack, to an editing-publishing separated blogging system, to an Ionic/Electron hybrid application, to building a JavaScript slide framework. The aim is to give developers concrete,... -
7
Robotics Library
C++ framework for robot kinematics, dynamics, motion planning, control
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. It covers spatial vector algebra, multibody systems, hardware abstraction, path planning, collision detection, and visualization. -
8
Intense Images
A simple library to view large images up close
Intense Images is a standalone JavaScript library for viewing images in a full-screen, immersive style. It lets users open images into a focused viewer and pan around them using mouse or touch position. The library does not require jQuery or another framework, which makes it easier to add to lightweight web projects. It handles the creation, styling, and management of the viewer and captions while leaving normal image styling up to the developer. Intense Images is useful for portfolios,... -
9
EaselJS
Work with the HTML5 Canvas element easily
The Easel Javascript library provides a full, hierarchical display list, a core interaction model, and helper classes to make working with the HTML5 Canvas element much easier. A JavaScript library that makes working with the HTML5 Canvas element easy. Useful for creating games, generative art, and other highly graphical experiences. EaselJS provides straight forward solutions for working with rich graphics and interactivity with HTML5 Canvas. It provides an API that is familiar to Adobe... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
10
Flasky
Companion code to my O'Reilly book "Flask Web Development"
Flasky is a comprehensive example web application built with the Flask microframework that demonstrates best practices for developing real-world Python web applications, covering everything from project structure and configuration to database models, authentication, and deployment. It serves as both a tutorial and sample codebase that walks developers through building a full-featured web application, including user registration and login, role-based permissions, user profiles, and content... -
11
Joplin I/O Library
A Java Library for Improved I/O
Joplin aims to provide improved I/O for the Java programming language. While the Java class library is extensive, its framework for performing complex I/O operations is missing several features, including comprehensive binary I/O. This notably includes classes for working with binary files, facilities for working with different encodings, and utilities for marshalling between Streams and NIO Channels. -
12
bTabs
A jQuery plugin open pages in tab, based on Bootstrap2,3
A jQuery plugin opens pages in tab, based on Bootstrap2,3. -
13
Flummox
Minimal, isomorphic Flux
The Flummox project is a Flux implementation designed to provide a more modular, testable, and isomorphic approach to application state management in React environments. It rethinks traditional Flux architecture by eliminating the need for singletons and encouraging explicit dependency injection, making applications easier to test and reason about. The framework is built with modern JavaScript features and emphasizes clear separation of concerns between actions, stores, and components. It... -
14
Shoestring
A lightweight, simple DOM utility made to run on a tight budget.
Shoestring is a lightweight, modular DOM framework intended for developers who need their code to download and run as fast as possible. It is intended to be "just enough" of a tool to efficently write maintainable cross-browser JavaScript. The API is modeled after jQuery but we intentionally implement a tiny subset of the API to cover only the methods we commonly need in our projects. Each feature is built as an optional extension to a minimal core so each can be removed from the production... -
15
torch-rnn
Efficient, reusable RNNs and LSTMs for torch
The torch-rnn project is a lightweight and efficient implementation of recurrent neural networks built on the Torch framework, focusing on flexibility and reusability for sequence modeling tasks. It provides implementations of standard RNNs and long short-term memory networks, enabling users to train models for tasks such as text generation, language modeling, and sequence prediction. The repository emphasizes simplicity and performance, offering a streamlined pipeline for preprocessing... -
16
Solid Python
A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them. -
17
yo-yo.js
A tiny library for building modular UI components using DOM diffing
yo-yo is a tiny, modular JavaScript library for building UI components by combining template literals with efficient DOM diffing. The core idea behind yo-yo is to enable developers to write modular, dynamic views using ES6 tagged template syntax, then update those views by intelligently diffing and morphing the real DOM rather than re-rendering everything. It’s inspired by patterns found in larger UI frameworks but stays extremely lightweight—only a few kilobytes when minified and gzipped—by... -
18
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... -
19
react-howto
Your guide to the (sometimes overwhelming!) React ecosystem
react-howto is a learning guide for developers who feel overwhelmed by the React ecosystem. It explains React’s surrounding toolchain in a practical order instead of pushing beginners into every technology at once. The guide recommends learning React itself first, then npm, JavaScript bundlers, ES6, routing, and Flux only as each problem becomes relevant. It also explains which advanced topics are optional, including inline styles, server rendering, Immutable.js, Relay, and Falcor. The... -
20
NewFramework
Java Framework of Solutions for Common Problems
-
21
Swift AI
The Swift machine learning library
Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the... -
22
generation
A CSS3 based framework
A CSS3 based framework for HTML5 and designed for an easy use and fast web develop. -
23
MEAN
For simple and scalable fullstack js applications
The MEAN stack uses Mongo, Express, Angular(6) and Node 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... -
24
-
25
Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data...
