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Top 5 Jupyter Notebook tensorflow-example Projects
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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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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.
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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Index
What are some of the best open-source tensorflow-example projects in Jupyter Notebook? This list will help you:
Project | Stars | |
---|---|---|
1 | examples | 7,742 |
2 | docs | 6,024 |
3 | yolov3-tf2 | 2,508 |
4 | tensorflow_chessbot | 497 |
5 | mango | 310 |
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