Search Results for "framework python"
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Showing 3 open source projects for "framework python"
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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jieba
Stuttering Chinese word segmentation
...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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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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