ktrain VS do-it-in-keras

Compare ktrain vs do-it-in-keras 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)

do-it-in-keras

Modern Deep Learning architectures and tasks implemented in Keras. (by sebaspv)
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ktrain do-it-in-keras
2 1
1,211 3
- -
8.4 0.0
26 days ago over 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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ktrain

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

do-it-in-keras

Posts with mentions or reviews of do-it-in-keras. We have used some of these posts to build our list of alternatives and similar projects.
  • Do it in Keras! - Hacktoberfest
    1 project | dev.to | 3 Oct 2021
    To contribute to Do it in Keras, you only need to make a pull request on the official Do it in Keras repository. Anything related to Deep Learning with Keras helps, and you can also upload your own implementation of a Deep Learning task.

What are some alternatives?

When comparing ktrain and do-it-in-keras you can also consider the following projects:

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

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

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

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

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

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

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.

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

tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

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