ktrain VS osumapper

Compare ktrain vs osumapper and see what are their differences.

ktrain

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply (by amaiya)
Deep Learning Machine Learning Tensorflow Keras Python NLP Computer Vision graph-neural-networks tabular-data
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osumapper

An automatic beatmap generator using Tensorflow / Deep Learning. (by kotritrona)
Tensorflow Python osu music-game NodeJS
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ktrain osumapper
2 4
1,211 407
- -
8.4 0.0
26 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
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.

ktrain

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

osumapper

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

What are some alternatives?

When comparing ktrain and osumapper you can also consider the following projects:

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

GatedTabTransformer - A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

do-it-in-keras - Modern Deep Learning architectures and tasks implemented in Keras.

Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)

konfuzio-sdk - OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.

TSAI-DeepNLP-END2.0

text_analytics_intro - Materials for Text Analysis workshops

tableQA-Chinese - Unsupervised tableQA and databaseQA on chinese finance question and tabular data

ktrain vs best-of-ml-python osumapper vs machine-learning-experiments ktrain vs GatedTabTransformer osumapper vs PConv-Keras ktrain vs Deep-Learning-Computer-Vision osumapper vs machine_learning_complete ktrain vs do-it-in-keras ktrain vs Mask-RCNN-Implementation ktrain vs konfuzio-sdk ktrain vs TSAI-DeepNLP-END2.0 ktrain vs text_analytics_intro ktrain vs tableQA-Chinese