Python ILI9341-parallel-TFT-driver-for-micropython Resources

Driver Buddy Reloaded Quickstart Table of Contents Installation Usage About Driver Buddy Reloaded Finding DispatchDeviceControl Labelling WDM & WDF St

A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

A linux-like remote terminal for Micropython

ColossalAI An integrated large-scale model training system with efficient parallelization techniques Installation PyPI pip install colossalai Install

NJDMV-appoitment-alert Want to get your driver's license? Can't get a appointment because of COVID? Well I got a solution for you. We'll get you one i

Cross-Speaker-Emotion-Transfer - PyTorch Implementation PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Conditio

Neo4j Movies Application: Quick Start This example application demonstrates how easy it is to get started with Neo4j in Python. It is a very simple we

NSPanel Hacking Sonoff NSPanel protocol and hacking information and Tasmota Berry driver. NSPanel protocol manual Tasmota driver nspanel.be Installati

Update your device firmware written in MicroPython over the air. Suitable for private and/or larger projects with many files.

typesafe_parmap pip install pip install typesafe-parmap Run functions in parallel safely with typesafe parmap! GitHub: https://github.com/thejaminato

1. A monitor for realtime MicroPython code This library provides a means of examining the behaviour of a running system. It was initially designed to

MicroPython - PyBR2021 Python para microcontroladores com MicroPyhton Repositório de exemplos para tutorial "Python para microcontroladores com MicroP

Data-centric machine learning powered by DaCe

2021AICompetition-03 본 repo 는 mAy-I Inc. 팀으로 참가한 2021 인공지능 온라인 경진대회 중 [이미지] 운전 사고 예방을 위한 운전자 부주의 행동 검출 모델] 태스크 수행을 위한 레포지토리입니다. mAy-I 는 과학기술정보통신부가 주최하

impy is All You Need in Image Analysis impy is an all-in-one image analysis library, equipped with parallel processing, GPU support, GUI based tools a

squid-dl squid-dl is a massively parallel yt-dlp-based YouTube downloader. Installation Run the setup.py, which will install squid-dl and its two depe

KMK: Clackety Keyboards Powered by Python KMK is a feature-rich and beginner-friendly firmware for computer keyboards written and configured in Circui

Multi-Task Framework for Cross-Lingual Abstractive Summarization (MCLAS) The code for ACL2021 paper Cross-Lingual Abstractive Summarization with Limit

pyHype: Computational Fluid Dynamics in Python pyHype is a Python framework for developing parallelized Computational Fluid Dynamics software to solve

Python Command-Line Interface Package to copy Dynamodb data in parallel batch processing + query natural & Global Secondary Indexes (GSIs).

Tft bot Bot para farmar pontos do Passe de Batalha do TFT Descrição A cada partida de tft jogada você ganha 100 pontos no passe, porém você não precis

KPAC: Kernel-Sharing Parallel Atrous Convolutional block This repository contains the official Tensorflow implementation of the following paper: Singl

tox-gh is a tox plugin which helps running tox on GitHub Actions with multiple different Python versions on multiple workers in parallel. This project is inspired by tox-travis.

WobblyStitcher Introduction A scalable implementation of WobblyStitcher Dependencies $ python -m pip install numpy scikit-image Visualization ImageJ

AVATAR Official code of our work, AVATAR: A Parallel Corpus for Java-Python Program Translation. AVATAR stands for jAVA-pyThon progrAm tRanslation. AV

Wrangl Ray-based parallel data preprocessing for NLP and ML. pip install wrangl # for latest pip install git+https://github.com/vzhong/wrangl See exa

Pico Escape Room Raspberry Pi Pico Escape Room game. Parts Raspberry Pi Pico Set of 2 x 20-pin Headers for Raspberry Pi Pico 4PCS Breadboards Kit Incl

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Yinghao Aaron Li, Ali Zare, Nima Mesgarani We pres

In-place Parallel Super Scalar Samplesort (IPS⁴o) This is the implementation of the algorithm IPS⁴o presented in the paper Engineering In-place (Share

plantsensor A Raspberry Pi Pico plant sensor hub coded in Micropython I used: 1x Raspberry Pi Pico - microcontroller 1x Waveshare Pico OLED 1.3 - scre

JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design This repository contains code for the paper: JA

vboxpower VirtualBox Power Driver for MAAS (Metal as a Service) A way to manage the power of VirtualBox virtual machines via the MAAS webhook driver.

ClariNet A Pytorch Implementation of ClariNet (Mel Spectrogram -- Waveform) Requirements PyTorch 0.4.1 & python 3.6 & Librosa Examples Step 1. Downlo

MLP Singer Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis. Audio samples are available on our demo page.

pg-purepy pg-purepy is a pure-Python PostgreSQL wrapper based on the anyio library. A lot of this library was inspired by the pg8000 library. Credits

Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.

A small, simple editor for beginner Python programmers. Written in Python and Qt5.

MALib: A parallel framework for population-based multi-agent reinforcement learning MALib is a parallel framework of population-based learning nested

Cable Driven Parallel Robots (CDPR) is also known as Cable-Suspended Robots are the emerging and flexible end effector manipulation system. Cable-driven parallel robots (CDPRs) are categorized as a type of parallel manipulators

MicroPython 74HC595 A MicroPython library for 74HC595 8-bit shift registers. There's both an SPI version and a bit-bang version, each with a slightly

Micropython DOS-like OS for RP2040 microcontroller boards. Check out the demo video at https://www.youtube.com/watch?v=Az_oiq8GE4Y To start the OS typ

Corset is a web-based data selection portal that helps you getting relevant data from massive amounts of parallel data. So, if you don't need the whole corpus, but just a suitable subset (indeed, a cor(pus sub)set, this is what Corset will do for you--and the reason of the name of the tool.

SYMPAIS: Symbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis Overview | Installation | Documentation | Examples | Notebo

A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs, supporting both control flow and dataflow execution paradigms as well as de-centralized CPU & GPU scheduling.

Parallel Tacotron2 Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Micropython encoder based menu This is a simple menu system written in micropython. It uses a switch, a rotary encoder and an OLED display.

Multi-Task Framework for Cross-Lingual Abstractive Summarization (MCLAS) The code for ACL2021 paper Cross-Lingual Abstractive Summarization with Limit

MALib A general-purpose multi-agent training framework. Installation step1: build environment conda create -n malib python==3.7 -y conda activate mali

MaskCycleGAN-VC Unofficial PyTorch implementation of Kaneko et al.'s MaskCycleGAN-VC (2021) for non-parallel voice conversion. MaskCycleGAN-VC is the

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

TorchShard is a lightweight engine for slicing a PyTorch tensor into parallel shards. It can reduce GPU memory and scale up the training when the model has massive linear layers (e.g., ViT, BERT and GPT) or huge classes (millions). It has the same API design as PyTorch.

dask-rasterio dask-rasterio provides some methods for reading and writing rasters in parallel using Rasterio and Dask arrays. Usage Read a multiband r

monolish is a linear equation solver library that monolithically fuses variable data type, matrix structures, matrix data format, vendor specific data transfer APIs, and vendor specific numerical algebra libraries.

Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for building probabilistic

Somoclu Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing

MPI for Python Overview Welcome to MPI for Python. This package provides Python bindings for the Message Passing Interface (MPI) standard. It is imple

Interactive Parallel Computing with IPython ipyparallel is the new home of IPython.parallel. ipyparallel is a Python package and collection of CLI scr

Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear

TTNet-Pytorch The implementation for the paper "TTNet: Real-time temporal and spatial video analysis of table tennis" An introduction of the project c

redo - a recursive build system Smaller, easier, more powerful, and more reliable than make. This is an implementation of Daniel J. Bernstein's redo b

Mu - A Simple Python Code Editor Mu is a simple code editor for beginner programmers based on extensive feedback from teachers and learners. Having sa

🤪 TensorFlowTTS provides real-time state-of-the-art speech synthesis architectures such as Tacotron-2, Melgan, Multiband-Melgan, FastSpeech, FastSpeech2 based-on TensorFlow 2. With Tensorflow 2, we can speed-up training/inference progress, optimizer further by using fake-quantize aware and pruning, make TTS models can be run faster than real-time and be able to deploy on mobile devices or embedded systems.

Mesh Transformer Jax A haiku library using the new(ly documented) xmap operator in Jax for model parallelism of transformers. See enwik8_example.py fo

English | 简体中文 Welcome to the PaddlePaddle GitHub. PaddlePaddle, as the only independent R&D deep learning platform in China, has been officially open

swifter A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner. Blog posts Release 1.0.0 Fir

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

PYPARSVD This implementation allows for a singular value decomposition which is: Distributed using MPI4Py Streaming - data can be shown in batches to

openTSNE openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction al

Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo

openTSNE openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction al

Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo

English | 简体中文 Welcome to the PaddlePaddle GitHub. PaddlePaddle, as the only independent R&D deep learning platform in China, has been officially open

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

tqdm tqdm derives from the Arabic word taqaddum (تقدّم) which can mean "progress," and is an abbreviation for "I love you so much" in Spanish (te quie

psycopg2 - Python-PostgreSQL Database Adapter Psycopg is the most popular PostgreSQL database adapter for the Python programming language. Its main fe

Neo4j Bolt Driver for Python This repository contains the official Neo4j driver for Python. Each driver release (from 4.0 upwards) is built specifical

parallel-ssh Asynchronous parallel SSH client library. Run SSH commands over many - hundreds/hundreds of thousands - number of servers asynchronously

mocket /mɔˈkɛt/ A socket mock framework for all kinds of socket animals, web-clients included - with gevent/asyncio/SSL support ...and then MicroPytho

GPT-NeoX An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hun

asyncio client library for elasticsearch aioes is a asyncio compatible library for working with Elasticsearch The project is abandoned aioes is not su

Motor Info: Motor is a full-featured, non-blocking MongoDB driver for Python Tornado and asyncio applications. Documentation: Available at motor.readt

asyncpg -- A fast PostgreSQL Database Client Library for Python/asyncio asyncpg is a database interface library designed specifically for PostgreSQL a

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

mocket /mɔˈkɛt/ A socket mock framework for all kinds of socket animals, web-clients included - with gevent/asyncio/SSL support ...and then MicroPytho

mocket /mɔˈkɛt/ A socket mock framework for all kinds of socket animals, web-clients included - with gevent/asyncio/SSL support ...and then MicroPytho

Somoclu Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing

Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline

Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for building probabilistic

The MicroPython project This is the MicroPython project, which aims to put an implementation of Python 3.x on microcontrollers and small embedded syst

Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear

Motor Info: Motor is a full-featured, non-blocking MongoDB driver for Python Tornado and asyncio applications. Documentation: Available at motor.readt

PyMongo Info: See the mongo site for more information. See GitHub for the latest source. Documentation: Available at pymongo.readthedocs.io Author: Mi

DataStax Driver for Apache Cassandra A modern, feature-rich and highly-tunable Python client library for Apache Cassandra (2.1+) and DataStax Enterpri

ClickHouse Python Driver ClickHouse Python Driver with native (TCP) interface support. Asynchronous wrapper is available here: https://github.com/myma