Search Results for "prototyping" - Page 5
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Showing 327 open source projects for "prototyping"
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protoFrameworkSamples
Samples for the protoFramework project
Samples for the protoFramework project. See https://sourceforge.net/projects/protoframework/ for the master project. This is a Dassault Aviation project -
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IdleX - IDLE Extensions for Python
IDLE Extensions
A collection of extensions for Python's IDLE, the Python IDE built with the tkinter GUI toolkit. -
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Johnny-Five
JavaScript Robotics and IoT programming framework
Johnny-Five is the JavaScript Robotics & IoT Platform. Released by Bocoup in 2012, Johnny-Five is maintained by a community of passionate software developers and hardware engineers. Over 75 developers have made contributions towards building a robust, extensible and composable ecosystem. The only kit designed for getting started with Johnny-Five! The Johnny-Five Inventor's Kit, from Bocoup and SparkFun, is now available! It's designed for anyone who wants to get started with... -
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C64 65XE NES Debugger
Commodore 64, Atari XL/XE and NES debugger that works in real time.
This is Commodore 64, Atari XL/XE and NES code and memory debugger that works in real time. It is quick prototyping tool where you can play with Commodore 64 machine and its internals. C64 Debugger embeds VICE v3.1 C64 emulation engine created by The VICE Team and Atari800 v3.1.0 emulation engine created by the Atari800 team. Please note that project has been renamed to Retro Debugger and moved to https://github.com/slajerek/RetroDebugger Contact me at slajerek@gmail.com -
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Temporal.jl
Time series implementation for the Julia language
This package provides a flexible & efficient time series class, TS, for the Julia programming language. While still early in development, the overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages, while retaining the performance one expects from Julia. See the documentation for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data. -
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Mininet
Emulator for rapid prototyping of Software Defined Networks
Mininet creates a realistic virtual network, running real kernel, switch and application code, on a single machine (VM, cloud or native), in seconds, with a single command. Because you can easily interact with your network using the Mininet CLI (and API), customize it, share it with others, or deploy it on real hardware, Mininet is useful for development, teaching, and research. Mininet is also a great way to develop, share, and experiment with Software-Defined Networking (SDN) systems using... -
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ctalk
Object Oriented Language
IMPORTANT: Please refer to the Ctalk wiki, available from the tab above, for important release information. Ctalk is a compact object oriented language that works closely with C. That means you can use Ctalk for GUI, network, client-server, and systems programs as well as traditional object oriented simulations, with all of the advantages of a true object oriented language, like class and method inheritance, and rapid prototyping. Ctalk includes a just-in-time compiler, a compact run... -
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PyBitBanger
Python controlled hardware.
With the demise of the parallel port, a simple way for a Python script to control external hardware has disappeared. The goal of this project is to use relatively simple hardware like an Arduino Nano and the Microchip MCP23S17 port expander as an extensible bit banger. Ideally, all hardware should be leaded and breadboard friendly for easy project prototyping. The ELEGOO Nano is used as an USB RS232 to SPI controller to control the port expander. This fits nicely on a breadboard and has... -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorials and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, and metrics. Full transparency... -
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protoFrameworkSphynx
The Sphynx module for the protoFramework project
The Sphynx module for the protoFramework project. See https://sourceforge.net/projects/protoframework/ for the master project. This is a Dassault Aviation project -
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PyMesh
Geometry processing library for Python
PyMesh is a codebase developed by Qingnan Zhou for his PhD research at New York University. It is a rapid prototyping platform focused on geometry processing. PyMesh is written with both C++ and Python, where computational intensive functionalities are realized in C++, and Python is used for creating minimalistic and easy-to-use interfaces. PyMesh is a rapid prototyping platform focused on geometry processing. It provides a set of common mesh processing functionalities and interfaces... -
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CAELinux
Dedicated to computer-aided engineering Linux distribution
CAELinux is an installable live (USB) Linux distribution dedicated to open source engineering with a focus on Computer Aided Engineering and Scientific Computing. Based on Ubuntu, it features a ready to use workstation environment for open source product development, makers and scientist with many CAD/CAM/CAE applications for mechanical design, stress analysis, heat transfer, flow simulation and CNC manufacturing / 3D printing as well as electronic design tools and a complete development... -
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UDOO Board
UDOO: Android Linux Arduino in a tiny single-board computer
UDOO is a mini PC that could run either Android or Linux, with an Arduino-compatible board embedded. UDOO is a powerful prototyping board for software development and design, it’s easy to use and with a few steps you can start using it and creating your projects with minimum knowledge. UDOO merges different computing worlds in one; each world has its strengths and weaknesses, and all of them are useful today in education as well as Do-It-Yourself (DIY) and rapid prototyping endeavours... -
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Processing
Source code for the processing core and development environment
Processing is a flexible software sketchbook and a language for learning how to code within the context of the visual arts. Since 2001, Processing has promoted software literacy within the visual arts and visual literacy within technology. There are tens of thousands of students, artists, designers, researchers, and hobbyists who use processing for learning and prototyping. The core Processing software is augmented by libraries and tools contributed through the community. These inventive... -
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mqtt_interface
MQTT interface for Octave/MatLab/Simulink
This software provides an easy to use MQTT interface for rapid prototyping and testing of algorithms in the IoT world. This interface closes the gap between the MQTT Java client implementation from [Paho](https://www.eclipse.org/paho/) iot.eclipse.org project and high level numerical programming. Different usage examples are provided. -
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Texar
Toolkit for Machine Learning, Natural Language Processing
Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror of this repository... -
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Artemis-odb
A continuation of the popular Artemis ECS framework
Artemis-odb is a high-performance java based Entity-Component-System framework. It is mature, actively maintained, and a continuation of the popular Artemis. Artemis-odb is one of the fastest incarnations of Artemis! Don't take our word for it, check out and run the benchmarks yourself! Dozens of games with sources are available in the Game Gallery! Use it commercially! Expand your toolkit! Easy migration from Artemis clones. Optionally auto-pooled components and hotspot optimization via... -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out... -
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Reactide
The first dedicated IDE for React web application development
Reactide is a cross-platform desktop application that offers a simulator, made for live reloading and quick React component prototyping. React brings an integrated suite of development tools to streamline react development. The days of flipping between browser, IDE, and server are over. Reactide runs an integrated Node server and custom browser simulator eliminating the need to configure any servers, build-tools, and even offers hot module reloading right out of the box. To get started, just... -
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Spotlight
Deep recommender models using PyTorch
Spotlight uses PyTorch to build both deep and shallow recommender models. By providing both a slew of building blocks for loss functions (various pointwise and pairwise ranking losses), representations (shallow factorization representations, deep sequence models), and utilities for fetching (or generating) recommendation datasets, it aims to be a tool for rapid exploration and prototyping of new recommender models. Spotlight offers a slew of popular datasets, including Movielens 100K, 1M, 10M... -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important... -
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Wheefun Computer Prototyping Kit
A Toolkit for Designing Computers
This package is designed for people who are a) interested in writing emulators or b) integrating this level of detain into their applications (e.g., a video game). The ability to do this is useful because a) it allows for tinkering far before physical implementation of the design is. In addition to a strong core, WFCPK will also include modules emulating various processors (e.g., the MOS 6502 and the Zilog Z80) as well as the Video-Audio Interface (a custom VGA-compatible display and... -
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Synthclipse
GLSL shader prototyping tool based on Eclipse IDE.
Synthclipse is a GLSL shader prototyping tool. It makes possible to fast develop all kinds of shaders: Fragment (FS), Vertex (VS), Geometry (GS), Tessellation (TS) and Compute (CS). Shader development can be done using, compatible with Fragmentarium and Shadertoy (but limited to FS and VS), Fragx shaders or by using fully featured JavaScript JSX scripts. The JSX API is consistent with WebGL but in fact exposes complete OpenGL 4+ API. To install Synthclipse one can download prepacked Eclipse... -
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SimpleITK: a simplified layer build on top of the Insight Toolkit (ITK), intended to facilitate its use in rapid prototyping, education and interpreted languages.
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md2googleslides
Generate Google Slides from markdown
Generate Google Slides from markdown & HTML. Run from the command line or embed in another application. This project was developed as an example of how to use the Slides API. While it does not yet produce stunningly beautiful decks, you are encouraged to use this tool for quickly prototyping presentations. The first time the command is run you will be prompted for authorization. OAuth token credentials are stored locally in a file named ~/.md2googleslides/credentials.json. Each time you...