Search Results for "framework-arduinoststm32"
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Showing 27 open source projects for "framework-arduinoststm32"
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Django LMS
A learning management system using django web framework
django-lms is an open-source Learning Management System (LMS) built with Django and designed for ease of use and extensibility. It allows administrators to manage courses, lessons, quizzes, and users in an educational environment. The project includes a clean UI and backend tools to help educators create and track learning content. -
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ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines... -
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D2L.ai
Interactive deep learning book with multi-framework code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth... -
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DIG
A library for graph deep learning research
... your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
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jieba
Stuttering Chinese word segmentation
... for word segmentation in search engines. The paddle mode uses the PaddlePaddle deep learning framework to train the sequence labeling (bidirectional GRU) network model to achieve word segmentation. Also supports part-of-speech tagging. To use paddle mode, you need to install paddlepaddle-tiny, pip install paddlepaddle-tiny==1.6.1. Currently paddle mode supports jieba v0.40 and above. For versions below jieba v0.40, please upgrade jieba, pip install jieba --upgrade. -
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Neural MMO
Code for the paper "Neural MMO: A Massively Multiagent Game..."
... training and emergent dynamics across large populations. The project is built to test scalability in multi-agent reinforcement learning, with features such as procedurally generated terrain and configurable game mechanics. While the original release has since been succeeded by newer versions maintained outside OpenAI, it remains a landmark framework for studying large-scale agent interactions in complex environments. -
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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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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
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Acoustic Research Tool (ART)
Acoustic Simulation Library for Frequency and Time Domain Simulations.
ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX... -
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Collective Mind Technology
plugin-based framework for systematic and reproducible experimentation
New version moved to http://github.com/ctuning/ck Collective Mind framework (cM) is an open-source plugin-based schema-free repository and infrastructure for collaborative, systematic and reproducible research and experimentation. This 3rd version (started in 2006) helps to implement, preserve, share and reproduce the whole experimental setup as connected modules and data. cM uses crowdsourcing to leverage knowledge and computational resources of multiple users. For example, it includes... -
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kDicts
kDicts is a simple app for anyone who loves to study foreign languages
kDicts is a simple app for anyone who loves to study foreign languages with a little bit of technology, or simply for anyone who needs to remember a few words. kDicts is written in Python and runs under Kivy framework. You can clone the repository to your /sdcard/kivy/kDicts or install it from APK. Before every update backup your app data! Like the app on facebook too: https://www.facebook.com/kDicts -
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Vocabulary Tester
Vocabulary Testing Program
This is a program (written in Python, with graphics based on the Tk/Tcl framework) to test on vocabulary. It allows users to define their own languages and constructs per language. Afterwards, a dictionary of words can be created and the user can be tested on this dictionary. Currently, it is in v0.8 (Beta) of development. After a stable version is released (v1.0), a more detailed repository will be kept. -
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Four In Row Arena
Implement your player strategy and compete with other strategies.
A generic framework for Four in A Row or Five In A Row or X In A Row game, with the possibility to develop different strategies and compare them in tournaments. To implement more players, create new class inherited from PlayerStrategy, and implement the move() method to chose best move, by utilizing different methods provided with Table object. -
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MarcXimiL is a flexible multi-platform bibliographic similarity analysis framework. Features: deduplication, information monitoring, visual analysis, plagiarism detection. Supported: MARCXML, OAI-PMH2 harvesting, and importation of text MARC.
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Ouroborus is an artificial life framework for mobile agents on a background of cellular automata. It can be used to teach and research topics such as population genetics, ecology and evolution. The demo includes a curses view and live Csound audio.
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We have moved: https://github.com/mollyproject/mollyproject The Molly Project is a framework for the development of University service and information portals for mobile devices.
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Pytest is an open source testing and evaluation framework written in Python. It is compliant with IMS Global Learning Consortium, Inc. QTI specification and can be used as a tests editor or as a server for creating a networked testing framework.
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edef - A small simulation framework for logic circuits, autoregressive processes, digital controller circuits and many more. Also there is a GUI application, that integrates a simple development environment and a circuit editor.
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PsyBox is a script framework for psychological experiments. Simple scripting is enough to design a experiment, text/image display and input char/text/mouse/response-time input is supported. Python and wxPython is used for base engine.
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GMUVE (Graphical Multiuser Virtual Environment) is an engine/framework that lets large numbers of users interact in a 3D world. GMUVE is a peer to peer networked OpenGL application that can be used for MMPOG or 3D chat. It is available in Python and JAVA
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Agile Author is a framework for developing networked repositories of digital information such as digital libraries and content management systems.
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Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.
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pyRobbie is a Robot simulation program, written in Python, which enables users to control a (graphical) Robot through a 2D graphical world to solve different problems. The intent is to provide an easy to use framework for constructing programming example
