Python library for the iM282A LoRa radio module based on Semtech SX1280 transceiver

This library allows to communicate with iM282A Radio (LoRa/FLRC/FSK) modules using vendor specific HCI messages and the WiMOD LR BASE+ proprietary firmware. Currently only TCP serial socket communication is supported. SensorApp endpoint is not supported (in firmware embedded sensor example application)! Feel free to open an issue if it’s needed. Most length limitations are not enforced or validated – make sure to read the corresponding vendor documentation of the firmware and module. Install python -m pip install im282a Usage Example […]

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Real-time analysis of intracranial neurophysiology recordings

py_neuromodulation The py_neuromodulation toolbox allows for real time capable processing of multimodal electrophysiological data. The primary use is movement prediction for adaptive deep brain stimulation. Find the documentation here https://neuromodulation.github.io/py_neuromodulation/ for example usage and parametrization. Setup For running this toolbox first create a new virtual conda environment: conda env create –file=env.yml –user The main modules include running real time enabled feature preprocessing based on iEEG BIDS data. Different features can be enabled/disabled and parametrized in the `https://github.com/neuromodulation/py_neuromodulation/blob/main/pyneuromodulation/nm_settings.json>`_. The current implementation […]

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An attempt at open-source reimplementation of DraciDoupe.cz (referred to as DDCZ in this text)

Graveyard is an attempt at open-source reimplementation of DraciDoupe.cz (referred to as DDCZ in this text). Developer’s documentation is at Read the Docs. Production will be running at http://nove.dracidoupe.cz/ Contributions Contributions are welcome provided you agree your work will be shared under the same license as Graveyard (MIT). Please use black for code formatting. If you don’t know where to start, take a look at the roadmap or ask Almad on development Slack or in Pošta on DraciDoupe.cz. Please install […]

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An easy-to-use soundfonts loader and audio renderer in python

This is an easy-to-use soundfonts loader and audio renderer in python. This is probably the most handy soundfont loader and renderer via pure programming at the time I am writing now (2021/8/29). This is a python package, it can load any soundfont files, including sf2 and sf3, you can listen to every preset in every bank in the soundfont files that are loaded using very simple syntax, export audio files for each note in a pitch range for any instruments […]

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A simple command-line utility for querying and monitoring GPU status

Just less than nvidia-smi? NOTE: This works with NVIDIA Graphics Devices only, no AMD support as of now. Contributions are welcome! Self-Promotion: A web interface of gpustat is available (in alpha)! Check out gpustat-web. Usage $ gpustat Options: –color : Force colored output (even when stdout is not a tty) –no-color : Suppress colored output -u, –show-user : Display username of the process owner -c, –show-cmd : Display the process name -f, –show-full-cmd : Display full command and cpu stats […]

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A Python library intended to liberate data scientists and machine learning engineers

lazycluster is a Python library intended to liberate data scientists and machine learning engineers by abstracting away cluster management and configuration so that they are able to focus on their actual tasks. Especially, the easy and convenient cluster setup with Python for various distributed machine learning frameworks is emphasized. Highlights High-Level API for starting clusters: DASK Hyperopt More lazyclusters (e.g. Ray, PyTorch, Tensorflow, Horovod, Spark) to come … Lower-level API for: Managing Runtimes or RuntimeGroups to: A-/synchronously execute RuntimeTasks by […]

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TensorFrames lets you manipulate Apache Spark’s DataFrames with TensorFlow programs

Note:  TensorFrames is deprecated. You can use pandas UDF instead. Experimental TensorFlow binding for Scala andApache Spark. TensorFrames (TensorFlow on Spark DataFrames) lets you manipulate Apache Spark’s DataFrames withTensorFlow programs. This package is experimental and is provided as a technical preview only. While theinterfaces are all implemented and working, there are still some areas of low performance. Supported platforms: This package only officially supports linux 64bit platforms as a target.Contributions are welcome for other platforms. See the file project/Dependencies.scala for […]

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A novel evolutionary computation framework for rapid prototyping and testing of ideas

DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanisms such as multiprocessing and SCOOP. DEAP includes the following features: Genetic algorithm using any imaginable representation List, Array, Set, Dictionary, Tree, Numpy Array, etc. Genetic programing using prefix trees Loosely typed, Strongly typed Automatically defined functions Evolution strategies (including CMA-ES) Multi-objective optimisation (NSGA-II, NSGA-III, SPEA2, MO-CMA-ES) Co-evolution (cooperative […]

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