Search Results for "visual studio 2017"
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Showing 3 open source projects for "visual studio 2017"
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Create, in a few hours, an eCRF that is as easy to use as a paper one, and avoid the biggest headaches in data collection in Pre-authorisation and Post-authorisation studies of your medical device. Incorporate an EDC that is highly flexible when creating the eCRF, this will allow you to meet the needs of any kind of study. Save tons of time in the management and monitoring of the study with the management and monitoring tools included in the EDC. Use a validated system with all the security guarantees that give trust to the sponsor and allow the collection of quality data. Don’t wait until the analysis phase to discover mistakes in the data or you will end up chasing down investigators to correct them. Prevent the process of creation of an eCRF from being long and complex.
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Zil Money, A simple and secure platform to move money seamlessly online on-demand.
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Label Studio
Label Studio is a multi-type data labeling and annotation tool
... be used to prepare raw data or improve existing training data to get more accurate ML models. The frontend part of Label Studio app lies in the frontend/ folder and written in React JSX. Multi-user labeling sign up and login, when you create an annotation it's tied to your account. Configurable label formats let you customize the visual interface to meet your specific labeling needs. Support for multiple data types including images, audio, text, HTML, time-series, and video. -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data, construct... -
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ML workspace
All-in-one web-based IDE specialized for machine learning
... configured, optimized, and integrated. Usable as remote kernel (Jupyter) or remote machine (VS Code) via SSH. Easy to deploy on Mac, Linux, and Windows via Docker. Jupyter, JupyterLab, and Visual Studio Code web-based IDEs.By default, the workspace container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler allows.
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