Gym vs Kur

Overview

Kur

Stacks7

Followers44

Votes0

GitHub Stars823

Forks109

Gym

Stacks54

Followers59

Votes0

GitHub Stars36.7K

Forks8.7K

Kur vs Gym: What are the differences?

Kur: Deep Learning Made Easy. Kur is a system for quickly building and applying state-of-the-art deep learning models to new and exciting problems. Kur was designed to appeal to the entire machine learning community, from novices to veterans; Gym: Open source interface to reinforcement learning tasks. It is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.

Kur and Gym belong to "Machine Learning Tools" category of the tech stack.

Kur is an open source tool with 809 GitHub stars and 108 GitHub forks. Here's a link to Kur's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

Kur	Gym
Kur is a system for quickly building and applying state-of-the-art deep learning models to new and exciting problems. Kur was designed to appeal to the entire machine learning community, from novices to veterans.	It is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.
-	Reinforcement learning; Compatible with any numerical computation library
Statistics
GitHub Stars 823	GitHub Stars 36.7K
GitHub Forks 109	GitHub Forks 8.7K
Stacks 7	Stacks 54
Followers 44	Followers 59
Votes 0	Votes 0
Integrations
No integrations available	Theano TensorFlow

What are some alternatives to Kur, Gym?

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

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Gym vs Kur