Knet.jl
julia-tsp
| Knet.jl | julia-tsp | |
|---|---|---|
| 1 | 2 | |
| 1,418 | 19 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Knet.jl
-
Should you learn Julia or Python for Machine Learning?
We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.
julia-tsp
What are some alternatives?
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
ThreeBodyBot - Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.
edward2 - A simple probabilistic programming language.
MLBase.jl - A set of functions to support the development of machine learning algorithms
tensorflow - An Open Source Machine Learning Framework for Everyone
machine-learning - 🤖 Repository with machine learning algorithms and implementations
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
NumPy - The fundamental package for scientific computing with Python.
Plots.jl - Powerful convenience for Julia visualizations and data analysis
matplotlib - matplotlib: plotting with Python