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Source channel @githubtrending · Post #14712 · May 16

#php#calendar#contacts#crm#crm_platform#crm_system#customer_portal#customer_support#customizable#documents#email_marketing#kanban#leads#open_source#php#platform#sales_automation#single_page_application#support EspoCRM is a free, open-source CRM tool that helps you manage customer relationships by organizing leads, contacts, sales, marketing, and support in one easy-to-use web app. It has a clean interface, customizable features, and a REST API for integration, making it flexible for startups, small businesses, and developers. It automates repetitive tasks, saving time and reducing errors, while providing detailed reports to improve decision-making. Being open-source, it’s cost-effective with no licensing fees, and supported by a helpful community. This means you get a powerful, adaptable CRM that boosts productivity and customer management without high costs[1][3][5]. https://github.com/espocrm/espocrm

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djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning