Should you learn Julia or Python for Machine Learning?

• Flux.jl

  22 4,386 8.7 Julia

  Relax! Flux is the ML library that doesn't make you tensor

  

We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

• Knet.jl

  1 1,418 0.0 Jupyter Notebook

  Koç University deep learning framework.

We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

• 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.

  

• MLBase.jl

  1 186 0.0 Julia

  A set of functions to support the development of machine learning algorithms

  

We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

• Plots.jl

  4 1,794 8.5 Julia

  Powerful convenience for Julia visualizations and data analysis

  

We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

• tensorflow

  221 182,323 10.0 C++

  An Open Source Machine Learning Framework for Everyone

  

But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

• NumPy

  272 26,290 10.0 Python

  The fundamental package for scientific computing with Python.

  

But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

• matplotlib

  36 19,223 10.0 Python

  matplotlib: plotting with Python

  

But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

• WorkOS

  workos.com sponsored

  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.

  

• Pandas

  393 41,863 10.0 Python

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  

But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

Suggest a related project