Search Results for "prototyping" - Page 4
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Showing 101 open source projects for "prototyping"
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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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TFLearn
Deep learning library featuring a higher-level API for 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 over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations, and more. ... -
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cocoNLP
A Chinese information extraction tool
...Its API is intentionally simple, so you can drop it into scripts, ETL jobs, or dashboards without deep ML expertise. Because it aims at utility over complexity, it’s useful for prototyping data products or building lightweight text analytics where large models would be overkill. The repository also includes examples and test snippets to help you understand expected inputs and typical outputs, which shortens the learning curve for newcomers. -
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Texar
Toolkit for Machine Learning, Natural Language Processing
...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 is maintained by Petuum Open Source. Two Versions, (Mostly) Same Interfaces. Texar-TensorFlow (this repo) and Texar-PyTorch have mostly the same interfaces. Both further combine the best design of TF and PyTorch. ... -
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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 this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. ... -
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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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Spotlight
Deep recommender models using PyTorch
...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, and 20M. It also incorporates utilities for creating synthetic datasets. For example, generate_sequential generates a Markov-chain-derived interaction dataset, where the next item a user chooses is a function of their previous interactions. ... -
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UniCC LALR(1) Parser Generator
Parser generator, targetting C, C++, Python, JavaScript, JSON and XML
UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML. -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. Advanced sections touch on neural networks and... -
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PyVE
PyVE is image analysis and visualization environment
...It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces. It is what you need for fast prototyping and development of more complex projects. -
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Toastpp
Forward and inverse modelling in optical tomography
...It allows 3D reconstruction of absorption and scattering distributions inside an object from boundary measurements of light transmission, using steady state, time domain or frequency domain information. Matlab and Python bindings exist for ease of use and fast prototyping. -
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Import from github_com
Python module finder/loader from github, like in golang
...It hooks into Python’s import machinery so that when you reference a GitHub path, it fetches the code, stores it locally (often with caching), and makes it importable in the current environment. This is helpful for prototyping, teaching, or quickly exploring other people’s utilities without polluting your global site-packages. It also demonstrates how flexible Python’s import system is and can be used as a reference for custom importers. While not a substitute for proper packaging, it’s a clever shortcut for rapid experimentation. -
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CorEngine is a work in progress, OpenGL graphics powered 3D game engine designed to help independent game developers with quick prototyping and game/virtual environment creation. The engine supports a standard set of features, like skeletal animation, post processing, Lua/C programming, physics powered by Bullet Physics, GUI and 2D/3D Audio.
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EXEHDA-AD
Accessing EXEHDA's contextual information from Android devices.
...In the text area there is a techinical report where is done the appropriation of the concepts referring to Ubiquous Computing and Context Awareness, being the same synthesized in this document. The central characteristics of the middleware EXEHDA were too revised. The EXEHDA-AD modeling was evaluated by prototyping, which presented satisfactory results, indicating positively by the continuity of the research efforts in this direction. -
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VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.
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Onyx is for rapid prototyping and large-scale experimentation on advanced machine-learning algorithms with an emphasis on algorithms for online or streaming analysis, modeling, and classification.
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Sydewynder is an SMS receiver and sender application written in Python for S60 phones. It automates the responses of messages and can be used as a mobile application server. It very useful for prototyping mobile applications and educational projects.
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The CCM Tools are CASE tools used for generating CORBA components, test components, and test programs based on source IDL files. Various target languages can be generated. Scripting language wrappers can also be generated to enable rapid prototyping.
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Ivy: a lightweight software bus. Ivy is a lightweight software bus for quick-prototyping protocols. It allows applications to broadcast information through text messages, with a subscription mechanism based on regular expressions.
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A Set of work done by Giovanni Giorgi: BWolf, Squeak SmallTalk utilities, Java Novocaine prototyping engine
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PONY - ORM & web publication framework
Pony is a fast and easy to use Python ORM
...Following is an example of a query in Pony: select(p for p in Product if p.name.startswith('A') and p.cost <= 1000) Pony translates queries to SQL using a specific database dialect. Currently Pony works with SQLite, MySQL, PostgreSQL and Oracle databases. Pony ORM also include the ER Diagram Editor which is a great tool for prototyping. You can create your ER diagram online at https://editor.ponyorm.com, generate the database schema based on the diagram and start working with the database using declarative queries in seconds. -
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playsh is a narrative-driven "object navigation" client, operating primarily on the semantic level, casting your hacking environment as a high-level, shell-based, social prototyping laboratory, a playground for recombinant network toys.
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Yet Another Homemade Game Engine (yahge) is what the name says a free open source 3D Game Engine geared towards development of 3D First Person Shooters. Major goals are to provide a Rapid Prototyping System for Game Ideas or to make Game Demos for Resume
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Nodepad is an agile environment for prototyping special effects. Useful for visualizing in advance an algorithm before it gets implemented in a more complex software such as Maya, XSI, or blender.
