Search Results for "scipy python 3.5"
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Showing 3 open source projects for "scipy python 3.5"
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ERP System for ManufacturingProShop is a paperless and web based shop management, ERP, MES and QMS system for manufacturing companies in regulated industries. ProShop was built on the shop floor of a machine shop for nearly 20 years, and it's not like anything you've seen. Built to manage the complex manufacturing environment better than anything else on the market - by an order of magnitude. Never before has there been a system that gives you such insight into every detail of your manufacturing company. ProShop is best described as a Digital Manufacturing Ecosystem (DME). It is 100% paperless, and combines the features found in ERP, MES, QMS, CMMS, and other software categories for machine shops, fabricators, job shops, contract manufacturers and others in regulated industries who need tight controls on their process and want exacting and timely information to make the best and most profitable decisions.
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MegEngine
Easy-to-use deep learning framework with 3 key features
...In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. Gain the lowest memory usage when inferencing a model by leveraging our unique pushdown memory planner. NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.5 to 3.8. On Windows 10 you can either install the Linux distribution through Windows Subsystem for Linux (WSL) or install the Windows distribution directly. Many other platforms are supported for inference. -
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GIMP ML
AI for GNU Image Manipulation Program
...Additionally, operations on images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows. -
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NeuroNER
Named-entity recognition using neural networks
Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. "deep learning") Is...
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