ktrain VS best-of-ml-python

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

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ktrain best-of-ml-python
2 16
1,211 15,364
- 0.9%
8.4 7.8
29 days ago 2 days ago
Jupyter Notebook Python
Apache License 2.0 Creative Commons Attribution Share Alike 4.0
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.

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.

What are some alternatives?

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

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

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

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

dtale - Visualizer for pandas data structures

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.

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

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

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

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

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

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.

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