ScalNet VS LynxKite

Compare ScalNet vs LynxKite and see what are their differences.

ScalNet

A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs (by deeplearning4j)
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ScalNet LynxKite
- -
344 135
- 0.7%
0.0 4.3
almost 4 years ago 4 days ago
Scala Scala
Apache License 2.0 GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

ScalNet

Posts with mentions or reviews of ScalNet. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning ScalNet yet.
Tracking mentions began in Dec 2020.

LynxKite

Posts with mentions or reviews of LynxKite. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning LynxKite yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing ScalNet and LynxKite you can also consider the following projects:

DeepLearning.scala - A simple library for creating complex neural networks

NetworkX - Network Analysis in Python

Orkestra - Functional DevOps with Scala and Kubernetes

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

DynaML - Scala Library/REPL for Machine Learning Research

NumPy - The fundamental package for scientific computing with Python.

doddle-model - :cake: doddle-model: machine learning in Scala.

Dask - Parallel computing with task scheduling

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

SciPy - SciPy library main repository