Showing 172 open source projects for "python compile source code"

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  • 1
    babel-plugin-macros

    babel-plugin-macros

    Allows you to build simple compile-time libraries

    Currently, each babel plugin in the babel ecosystem requires that you configure it individually. This is fine for things like language features but can be a frustrating overhead for libraries that allow for compile-time code transformation as an optimization. babel-plugin-macros defines a standard interface for libraries that want to use compile-time code transformation without requiring the user to add a babel plugin to their build system (other than babel-plugin-macros, which is ideally...
    Downloads: 0 This Week
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  • 2
    fastNLP

    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...
    Downloads: 0 This Week
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  • 3
    MMdnn

    MMdnn

    Tools to help users inter-operate among deep learning frameworks

    ..., which means you can train a model with one framework and deploy it with another. During the model conversion, we generate some code snippets to simplify later retraining or inference. We provide a model collection to help you find some popular models. We provide a model visualizer to display the network architecture more intuitively. We provide some guidelines to help you deploy DL models to another hardware platform.
    Downloads: 0 This Week
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  • 4
    Tensor2Tensor

    Tensor2Tensor

    Library of deep learning models and datasets

    Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments...
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  • 5
    javalang

    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.
    Downloads: 0 This Week
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  • 6
    ebfformat

    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...
    Downloads: 1 This Week
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  • 7
    ChainerRL

    ChainerRL

    ChainerRL is a deep reinforcement learning library

    ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments...
    Downloads: 0 This Week
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  • 8
    RecNN

    RecNN

    Reinforced Recommendation toolkit built around pytorch 1.7

    This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like.
    Downloads: 0 This Week
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  • 9
    Python Bible Reading Module

    Python Bible Reading Module

    Python Bible Reading Module is an open source python module.

    Python Bible Reading Module ( PBRM ) is an open source python module. It's designed in python 3, but should be compatible with python 2 . This module allows you to easily import different versions of the bible into your code.
    Downloads: 0 This Week
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  • 10
    PyTorch Natural Language Processing

    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...
    Downloads: 0 This Week
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  • 11
    AdaAutoDiff

    AdaAutoDiff

    C++ Templates and Ada Package for Automatic Differentiation

    Operators are overloaded so that a normal looking function definition provides access to not only evaluations of itself, but to evaluations of any of its analytic derivatives. Automatic differentiation means the user does not need to define the analytic expressions for all the various partial derivatives. It also means that those complex expressions are essentially calculated at compile time, and merely evaluated at runtime. First order derivatives only, forward accumulation. Choose...
    Downloads: 0 This Week
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  • 12
    Climate Modeling Courseware

    Climate Modeling Courseware

    Interactive lecture notes and assignments in Jupyter notebook format

    A collection of interactive lecture notes and assignments for a graduate-level climate modeling course. ATM 623 Climate Modeling is an advanced graduate course on climate dynamics and climate modeling. The focus of the course is on the hands-on use of both simple and complex climate models to build an understanding of the processes that control the planetary energy budget. The course makes extensive use of Python code and the Jupyter notebook for reproducible, self-describing calculations...
    Downloads: 0 This Week
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  • 13
    JSVerbalExpressions

    JSVerbalExpressions

    JavaScript Regular expressions made easy

    ... VerbalExpression() syntax in ES6 classes as mandated by the spec. You usually wouldn’t need to call VerEx().constructor(). This method will not be accessible from outside the source file since VerEx() returns an instance of the class rather than the class itself. sanitize is a static method on the VerbalExpression class. However, it is also exposed as VerEx().sanitize. Enabling control multi-line matching would cause the expression to not look for matches beyond the first line.
    Downloads: 1 This Week
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  • 14
    captcha_break

    captcha_break

    Identification codes

    This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. It supports image verification...
    Downloads: 0 This Week
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  • 15

    Optimized Storage for temporal Data

    open Optimized Storage of time series data

    Beta version. Base class for optimized storage of time series data. Uses any kind of relational database. Cross plateform with multiple languages (C++, C#, Java). Conditional storage based on value variation : DeltaValue and DeltaTime params. Get back data without losts.
    Downloads: 0 This Week
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  • 16
    Django REST Pandas

    Django REST Pandas

    Serves up Pandas dataframes via the Django REST Framework

    Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability...
    Downloads: 0 This Week
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  • 17
    Jurassic

    Jurassic

    A .NET library to parse and execute JavaScript code

    Jurassic is an implementation of the ECMAScript language and runtime. It aims to provide the best performing and most standards-compliant implementation of JavaScript for .NET. Jurassic is not intended for end-users; instead it is intended to be integrated into .NET programs. If you are the author of a .NET program, you can use Jurassic to compile and execute JavaScript code.
    Downloads: 0 This Week
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  • 18
    MITIE

    MITIE

    MITIE: library and tools for information extraction

    ... Machines[3]. MITIE offers several pre-trained models providing varying levels of support for both English, Spanish, and German trained using a variety of linguistic resources (e.g., CoNLL 2003, ACE, Wikipedia, Freebase, and Gigaword). The core MITIE software is written in C++, but bindings for several other software languages including Python, R, Java, C, and MATLAB allow a user to quickly integrate MITIE into his/her own applications.
    Downloads: 7 This Week
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  • 19
    CFD Python

    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...
    Downloads: 1 This Week
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  • 20
    PlotNeuralNet

    PlotNeuralNet

    Latex code for making neural networks diagrams

    Latex code for drawing neural networks for reports and presentations. Have a look into examples to see how they are made. Additionally, let's consolidate any improvements that you make and fix any bugs to help more people with this code.
    Downloads: 9 This Week
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  • 21
    Dart

    Dart

    Dart is a client-optimized language for fast apps on any platform

    The Dart SDK, including the VM, dart2js, core libraries, and more. Develop with a programming language specialized around the needs of user interface creation. Make changes iteratively, use hot reload to see the result instantly in your running app. Compile to ARM & x64 machine code for mobile, desktop, and backend. Or compile to JavaScript for the web. Mature and complete async-await for user interfaces containing event-driven code, paired with isolate-based concurrency. A programming language...
    Downloads: 0 This Week
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  • 22
    Python/xarray tutorial

    Python/xarray tutorial

    Python/xarray tutorial for GEOS-Chem users

    If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda...
    Downloads: 0 This Week
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  • 23
    Ponder

    Ponder

    C++ reflection library with Lua binding, and JSON and XML

    ... a huge amount of work. For example, Ponder can be used to expose and edit objects' attributes in a graphical user interface. It can also be used to do automatic binding of C++ classes to script languages such as Python or Lua. Another possible application would be the serialization of objects to XML, text or binary formats. Or you can even combine all these examples to provide a powerful and consistent interface for manipulating your objects outside C++ code.
    Downloads: 0 This Week
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  • 24
    Skater

    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...
    Downloads: 0 This Week
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  • 25

    Autologging

    Easier logging and tracing of Python functions and class methods.

    Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class...
    Downloads: 0 This Week
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