IoTSharp is an open-source IoT platform for data collection, processing, visualization, and device management.
- visualization
- iot-platform
- iot-cloud
- iotsharp
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IoTSharp is an open-source IoT platform for data collection, processing, visualization, and device management.
Translated"Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.
💰 Billing & Payments knowledge for cloud platforms
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Natural language processing framework for Ruby.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
ObsPy: A Python Toolbox for seismology/seismological observatories.
Efficient, easy-to-use, and fast PHP JSON stream parser
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
a clean C library for processing UTF-8 Unicode data
Real-time stream processing for python
Simple API, Complex Emails (Jakarta Mail smtp wrapper)
A collection of links to Ruby Natural Language Processing (NLP) libraries, tools and software
Dart Image Library for opening, manipulating, and saving various different image file formats.
Earth observation processing framework for machine learning in Python
Dockerized application that resizes and crops images on the fly, delivering optimized images in formats such as AVIF, WebP, MozJPEG, or PNG using ImageMagick, with an efficient caching system.
C/C++ Library for Processing Structured Configuration Files
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Python package for earth-observing satellite data processing
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
GRASS - free and open-source geospatial processing engine
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.