Search Results for "data acquisition"
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Showing 7 open source projects for "data acquisition"
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easyquant
Stock quantification framework to support market acquisition
easyquant is a Python quantitative-trading framework built on top of easytrader for execution and easyquotation for market data. Its event-driven architecture is inspired by vn.py and routes market updates into user-defined strategies. The default configuration can stream broad Sina market data at roughly one-second intervals. Alternative quotation sources can be substituted, including selected depth and fund data supported by easyquotation. Trading support includes several Chinese broker... -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. ... -
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CCM (C# Collections Mapper)
The CCM is a mini ORM, working with the database and C# collections
CCM is a solution for the data management layer in the combination of Sql Server with a C # application. In whole this is a strongly typed entity mapper projecting the application's business logics onto database tables using T-SQL stored procedures. CCM allows you to implement fairly complex data structures in your application, without bothering about difficult and tedious questions of data acquisition and conversion issue, allowing you to pay more attention to the develop of business logic and UI. ... -
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LBSP
Real-Time Processing Library for OSHW Biomedical Sensors
Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. -
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5
RxJavaSamples
Examples of some of the most common usages of RxJava 2 and Retrofit
Examples of some of the most common uses of RxJava 2 with Retrofit. For the interface that needs to request the token first, then use flatMap() to connect the token request and the actual data request coherently, without having to write a nested Callback structure. For non-disposable tokens (tokens that can be reused), after obtaining the token, save it for repeated use, and use retryWhen() to automatically re-acquire the token when it expires, making the process of token acquisition completely transparent and simplified. ... -
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JavaMutex
Provides 100% pure Java mutual exclusion.
Freely redistributable open source 100% pure Java for mutual exclusion. Read-write and read-only reentrant lock, condition variable, atomic wraps for Boolean, Integer, Long, and Reference. Cell pool with optional locking, object exchanger, Intersect. -
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openSCADA
openSCADA® is an open source SCADA system written in JAVA
openSCADA is an open source Supervisory Control And Data Acquisition System. It is platform independent and based on a modern system design that provides security and flexibility at the same time. openSCADA is flexible. It is not an out of the box solution, but a set of tools that can be combined in many different ways. It provides development libraries, interface applications, mass configuration tools, front-end and back-end applications.
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