Why do many data scientist use C++ for machine learning?

• Pytorch

  334 77,544 10.0 Python

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  

For example, there is PyTorch which is primarily C++ but has Python bindings. Most people use the Python bindings, same for TensorFlow. JAX is mostly Python, same for scikit-learn.

• tensorflow

  221 182,323 10.0 C++

  An Open Source Machine Learning Framework for Everyone

  

For example, there is PyTorch which is primarily C++ but has Python bindings. Most people use the Python bindings, same for TensorFlow. JAX is mostly Python, same for scikit-learn.

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• jax

  82 27,842 10.0 Python

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  

For example, there is PyTorch which is primarily C++ but has Python bindings. Most people use the Python bindings, same for TensorFlow. JAX is mostly Python, same for scikit-learn.

• scikit-learn

  81 57,985 9.9 Python

  scikit-learn: machine learning in Python

  

For example, there is PyTorch which is primarily C++ but has Python bindings. Most people use the Python bindings, same for TensorFlow. JAX is mostly Python, same for scikit-learn.

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