Our great sponsors
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awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Awesome Data Science – The awesome lists repositories often provides a good collection of resources around a specific topic, and the awesome-datascience repository is no exception. It contains a very comprehensive list of books, moocs, tutorials, and other content for all learnes of all levels of experience.
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tensorflow – An end-to-end open source platform for machine learning, initially developed by Google
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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TFLearn – Deep learning library featuring a higher-level API for TensorFlow
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scikit-learn – Simple and efficient tools for predictive data analysis, built on NumPy, SciPy, and matplotlib
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PyTorch – An open source machine learning framework
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandas – A fast, powerful, flexible and easy to use open source data analysis and manipulation tool
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numpy – The fundamental package for scientific computing with Python
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Keras – An open-source software library that provides a Python interface to TensorFlow for artificial neural networks