best-of-ml-python VS ktrain

Compare best-of-ml-python vs ktrain and see what are their differences.

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best-of-ml-python ktrain
16 2
15,284 1,209
1.2% -
7.9 8.3
7 days ago 13 days ago
Python Jupyter Notebook
Creative Commons Attribution Share Alike 4.0 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.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

ktrain

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

What are some alternatives?

When comparing best-of-ml-python and ktrain you can also consider the following projects:

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.

dtale - Visualizer for pandas data structures

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

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

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.

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

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

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

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.