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Modin
Modin is an early-stage project at UC Berkeley’s RISELab designed to facilitate the use of distributed computing for Data Science. It is a multiprocess Dataframe…
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Koalas
Koalas project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark. pandas is…
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Dask
Dask is an open source library for parallel computing written in Python. Dask is a library composed of two parts. It includes a task scheduling…
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Apache Spark
Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks…
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Folium
Folium is a powerful data visualisation library in Python that was built primarily to help people visualize geospatial data. With Folium, one can create a…
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Amazon launched Kendra, machine learning-powered service for enterprise search
Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra delivers powerful natural language search capabilities…
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IBM Q Experience Strives To Bring Quantum Computing To Masses
IBM Q Experience – online platform that gives users in the general public access to a set of IBM’s prototype quantum processors via the Cloud,…
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Build quantum software with Qisqit and IBM Q
Qiskit – open-source framework for quantum computing. It provides tools for creating and manipulating quantum programs. Qisqit runs them on prototype quantum devices on IBM…
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PyTorch Release
Facebook’s PyTorch is one of the most popular deep learning frameworks in the world, and today it’s getting new libraries and bigupdates, including TorchServe, a…
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SEED RL
SEED RL – tool that scales to thousands of machines, which enables training at millions of frames per second, and significantly improves computational efficiency and…