Search Results for "tiny-core-plus" - Page 31
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Showing 2444 open source projects for "tiny-core-plus"
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The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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Machine Learning with TensorFlow
Accompanying source code for Machine Learning with TensorFlow
Machine Learning with TensorFlow is an open repository containing the source code and practical examples that accompany the book Machine Learning with TensorFlow. The project provides numerous code samples demonstrating how to build machine learning models using the TensorFlow framework. These examples illustrate core machine learning concepts such as regression, classification, clustering, and neural networks through practical implementations. The repository includes implementations of algorithms such as logistic regression, convolutional neural networks, and autoencoders, which allow readers to experiment with different learning techniques. Many examples are structured as standalone scripts or notebooks that can be executed directly to reproduce the results described in the book. ... -
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Flask-GraphQL
Adds GraphQL support to your Flask application
...If you are using the Schema type of Graphene library, be sure to use the graphql_schema attribute to pass as schema on the GraphQLView view. Otherwise, the GraphQLSchema from graphql-core is the way to go. The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is set to dict with request object at key request. The root_value you want to provide to graphql execute. -
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Vega Strike is a 3d OpenGL Action Space Sim for Win/Lin/Mac allowing players to trade, bounty hunt, or explore in a vast universe. Active development is now on https://github.com/vegastrike and on http://www.vega-strike.org Vega Strike is mod ready and network playable.
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Scikit-learn Tutorial
An introductory tutorial for scikit-learn
Scikit-learn Tutorial contains the materials for Jake VanderPlas’s introductory scikit-learn tutorial, originally used at major Python conferences. It provides a collection of notebooks that walk attendees from basic machine-learning concepts into practical modeling using the scikit-learn library. The tutorial covers data preparation, model fitting, evaluation, and common algorithms such as classification, regression, clustering, and dimensionality reduction. It is designed for people who... -
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powerfactory-fmu
The FMI++ PowerFactory FMU Export Utility
This project has been moved to: https://github.com/fmipp/powerfactory-fmu The FMI++ PowerFactory FMU Export Utility is a stand-alone tool for exporting FMUs for Co-Simulation (FMI Version 1.0 & 2.0) from DIgSILENT PowerFactory models. It is open-source (BSD-like license) and freely available. It is based on code from the FMI++ library and the Boost C++ libraries. The FMI++ PowerFactory FMU Export Utility provides a graphical user interface (new in version v1.0) and - alternatively -... -
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DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
DeepSDF is a deep learning framework for continuous 3D shape representation using Signed Distance Functions (SDFs), as presented in the CVPR 2019 paper DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation by Park et al. The framework learns a continuous implicit function that maps 3D coordinates to their corresponding signed distances from object surfaces, allowing compact, high-fidelity shape modeling. Unlike traditional discrete voxel grids or meshes, DeepSDF... -
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Dive-into-DL-TensorFlow2.0
Dive into Deep Learning
...In addition, this project also refers to the project Dive-into-DL-PyTorch , which refactored PyTorch in the Chinese version of this book, and I would like to express my gratitude here. This repository mainly contains two folders, code and docs (plus some data stored in data). The code folder is the relevant jupyter notebook code for each chapter (based on TensorFlow2); the docs folder is the relevant content in the book. -
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Python Patterns
A collection of design patterns/idioms in Python
...It’s intended for learners or developers interested in software architecture or design, rather than as a production library. Includes pattern examples for testability, delegation, flyweight, proxy, etc., plus patterns outside the classical set (registry, specification, etc.) Each pattern has readable example code, often in its own module/file, sometimes showing more than one implementation style. -
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RoboSchool
Open source software for robot simulation, integrated with OpenAI Gym
Roboschool is a set of open source robot simulation environments for reinforcement learning, created as an alternative to the Mujoco physics engine. It integrates with OpenAI Gym and provides a variety of continuous control tasks, including humanoid locomotion, quadrupeds, and robotic arms. The library is built on the Bullet Physics engine, making it accessible without the licensing requirements of Mujoco. Roboschool includes training scripts and examples for applying reinforcement learning... -
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Team Purple
Common stuff for Imprudence and Kokua open source metaverse viewers.
The Imprudence and Kokua open source metaverse viewers are developed by Team Purple. This project is for the common stuff that is shared between the two viewers. -
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An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass spectrometry data. The library is written in C++. Our source code and wiki lives on GitHub (https://github.com/OpenMS/OpenMS).
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setuplib
Extensions for setuptools - detailed information on entry points
The *setuplib* package provides core functions for the query of meta information and installation repositories of *Python* packages. It provides query and filter options on the installed packages and the available information, while displaying the result data in various formats, e.g. as table, list, or JSON, XML, YAML, CSV, etc. The provided commands and extension points integrate seamless into the standard *setuptools* and/or *distutils*. -
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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. -
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pyMathSpeak
A Python implementation of the MathSpeak Core Specification
**NOTE**: This project has been moved to https://github.com/timothytylee/pymathspeak pyMathSpeak is a Python package that translates MathML equations into spoken text. It implements the MathSpeak Core Specification publicly available at http://www.gh-mathspeak.com/examples/grammar-rules/ The default translation targets English. Localization for different languages is possible, and a Traditional Chinese MathML translator is included for reference. -
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Finite Element Method Magnetics
Finite element analysis of electromagnetic devices
Solves low frequency magnetic, electrostatic, heat flow, and current flow problems on 2D and axisymmetric domains via the finite element method. -
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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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Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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Project Malmo
A platform for Artificial Intelligence experimentation on Minecraft
...That learns from others, including humans, how to interact with the world? That learns transferable skills throughout its existence, and applies them to solve new, challenging problems? Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform is a sophisticated AI experimentation platform built on top of Minecraft, and designed to support fundamental research in artificial intelligence. The Project Malmo platform consists of a mod for the Java version, and code that helps artificial intelligence agents sense and act within the Minecraft environment. ... -
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emural
Emulator of the USSR "Ural" vaccuum tubes computer from 1950-s
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PyQtRPT
Pyside QtRPT
Pyside QtRPT Python Binding for QtRPT (PySide Shiboken) QtRPT Report Engine Python Report License LGPL3 compatible with QtRPT (see license) """QtRPT is the easy-to-use print report engine written in C++ QtToolkit. It allows combining several reports in one XML file. For separately taken field, you can specify some condition depending on which this field will display in different font and background color, etc. The project consists of two parts: report library QtRPT and... -
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Rasa Core
Rasa Core is now part of the Rasa repo
Rasa is an open source machine learning framework to automate text and voice-based conversations. With Rasa, you can build contextual assistants. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – Rasa enables you to build assistants that can do this in a... -
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Molecular Dynamics Studio
Molecular Dynamics Cell Construction
This is a collection of software modifications created to integrate NanoEngineer-1, PACKMOL and MSI2LMP for the purpose of easily creating molecular dynamics cells. NanoEngineer-1 is a molecular CAD software written by Nanorex and provides the user an easy way to create molecules, while the software modifications allow the user to type atoms using multiple force fields. PACKMOL can generate a random collection of molecules using the molecule templates from NanoEngineer-1 thus providing the... -
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pytorch-examples
Simple examples to introduce PyTorch
The pytorch-examples project is a collection of concise and practical examples demonstrating how to use PyTorch for machine learning and deep learning tasks. It focuses on clarity and minimalism, providing small, self-contained scripts that illustrate key concepts such as neural network training, optimization, and data handling. The examples cover a range of topics including supervised learning, generative models, and reinforcement learning, making it a valuable resource for both beginners...