Keras
Deep Learning for humans (by keras-team)
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit (by microsoft)
Keras | CNTK | |
---|---|---|
85 | 2 | |
62,726 | 17,552 | |
0.5% | 0.1% | |
9.9 | 0.0 | |
5 days ago | about 2 years ago | |
Python | C++ | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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.
Keras
Posts with mentions or reviews of Keras.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-01-02.
-
Building a Sarcasm Detection System with LSTM and GloVe: A Complete Guide
Keras API reference
- Submitting GPU jobs to Slurm @ Loyola University Chicago
-
Top 8 OpenSource Tools for AI Startups
Star on GitHub ⭐ - Keras
-
Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck.
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Las 10 Mejores Herramientas de Inteligencia Artificial de Código Abierto
(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/92cup4lywcjfq83xg0ea.png)
-
Using Google Magika to build an AI-powered file type detector
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models.
- Side Quest #3: maybe the real Deepfakes were the friends we made along the way
-
Library for Machine learning and quantum computing
Keras
-
My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
- Release: Keras 3.3.0
CNTK
Posts with mentions or reviews of CNTK.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-07-24.
What are some alternatives?
When comparing Keras and CNTK you can also consider the following projects:
scikit-learn - scikit-learn: machine learning in Python
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
tensorflow - An Open Source Machine Learning Framework for Everyone
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
tiny-cnn - header only, dependency-free deep learning framework in C++14