Search Results for "python programming language" - Page 5
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Showing 172 open source projects for "python programming language"
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Ooui Web Framework
UI library that brings the simplicity of native UI development to web
Ooui (pronounced weee!) is a small cross-platform UI library for .NET that uses web technologies. It presents a classic object-oriented UI API that controls a dumb browser. With Ooui, you get the full power of your favorite .NET programming language plus the ability to interact with your app using any device. Make sure to add a reference to Ooui before you start running! With just code, a web server that serves the HTML and web socket logic necessary for an interactive button will start. Ooui... -
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BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
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Brain AutoML
Google Brain AutoML
This repository contains a list of AutoML related models and libraries. Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a general symbolic programming library for Python, to implement the symbolic formulation of AutoML. AutoML, designed to fill the machine learning industry’s talent gap, is gaining traction among various organizations. -
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Easy Rules
The simple, stupid rules engine for Java
The simple, stupid rules engine for Java. As of December 2020, Easy Rules is in maintenance mode. This means only bug fixes will be addressed from now on. Version 4.1.x is the only supported version. Please consider upgrading to this version at your earliest convenience. Lightweight library and easy-to-learn API. POJO-based development with an annotation programming model. Useful abstractions to define business rules and apply them easily with Java. The ability to create composite rules from... -
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NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a model... -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models... -
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GLPK for Java
Java language binding for the GNU Linear Programming Kit (GLPK)
GLPK for Java provides a Java language binding for the library GLPK. GLPK is a proven solver for linear and mixed integer mathematical programming problems. For Windows binaries see project GLPK for Windows (http://sourceforge.net/projects/winglpk/). -
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modernish
Modernish is a library for writing robust, portable, readable, and pow
Modernish is a library for shell script programming which provides features like safer variable and command expansion, new language constructs for loop iteration, and much more. Modernish programs are shell programs; the new constructs are mixed with shell syntax so that the programmer can take advantage of the best of both. There is no compiled code to install, as modernish is written entirely in the shell language. It can be deployed in embedded or multi-user systems in which new binary... -
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
... feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. Finally, the Deep Learning book provides research directions covering theoretical topics including linear factor models, autoencoders, representation learning, structured probabilistic models, etc. -
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javalang
Pure Python Java parser and tools
javalang is a pure Python library for working with Java source code. javalang provides a lexer and parser targeting Java 8. The implementation is based on the Java language spec. -
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Several language bindings for the FTDI D2XX driver used in FTDI's USB products. Currently supported languages are Python (pyd2xx), Java (jd2xx), CSharp (csd2xx) and LabVIEW (lvd2xx).
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ebfformat
An Efficient Binary data Format
EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code... -
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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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ocapi
C-level driver collection for MSP430 and derivatives
ocapi is an open source driver collection for MSP430 and derivative processors. It provides a C language application programming interface (API) for deploying individual processor capabilities. Current modules support serial communication via UART, I2C and SPI, digital I/O (GPIO), analog-to-digital conversion (ADC), Timers and so on. ocapi aims at being independent of the development host platform. So it should work, no matter if you live in the Windows, Linux or Mac world. ocapi is used... -
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AES Everywhere
Cross Language AES 256 Encryption Library
AES Everywhere is Cross Language Encryption Library that provides the ability to encrypt and decrypt data using a single algorithm in different programming languages and on different platforms. This is an implementation of the AES algorithm, specifically CBC mode, with 256-bit key length and PKCS7 padding. It implements OpenSSL-compatible cryptography with randomly generated salt. -
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cperl
A perl5 with classes, types, compilable, company friendly, security
cperl is an enhanced fork of Perl 5, aiming to modernize the language by introducing features such as classes, types, and improved performance. It focuses on providing a more secure and company-friendly version of Perl, with additional compiler support and better memory management. -
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CFD Python
Sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes
CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equations that describe the physics of fluid flow. The module was part of a course taught by Prof. Lorena Barba between 2009 and 2013 in the Mechanical Engineering department at Boston University (Prof. Barba since moved to George Washington University). The module assumes only basic programming knowledge... -
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction... -
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lua_alt_getopt is a module for Lua programming language for parsing command line arguments. Goals: compatibility to POSIX "Utility Syntax Guidelines" (guidelines 3-13), GNU getopt_long(3) extentions.
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iText®, a JAVA PDF library
PDF Library for Developers
... of iText build on the success of previous versions and feature an improved document engine, high and low-level programming capabilities, and a more efficient modular structure. iText represents the next level for developers looking to leverage PDF in document workflows. The main project page for iText is now on GitHub, and all the latest releases, code samples, open source add-ons and tools, etc. can be found at https://github.com/itext/. -
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Wheefun C Objects
Facilities for Object-Oriented Programming in C
The C programming language is procedural and does not provide an explicit mechanism for object-oriented programming. However, that doesn't mean that object-oriented programming cannot be done in C; with the availability of function pointers and structures, object-oriented code can be written. Although this has been done many times in the past, facilities for generic implementation of object-oriented code are either lacking or have turned into their own programming languages. This aims... -
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Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
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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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chemfiles
Modern library for chemistry file reading and writing
Chemfiles is a modern and high-quality library for reading and writing trajectory files created by computational chemistry simulations program. These trajectories contains atomic positions, velocities, names, topology and sometimes more. Running simulations produce enormous amounts of data, which has to be post-processed to extract physical information about the simulated system. Chemfiles provides an interface to access this information which is - unified: the same code will work with...
