Keras
Deep Learning for humans (by keras-team)
Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. (by facebook)
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| Keras | Prophet | |
|---|---|---|
| 32 | 61 | |
| 53,748 | 13,943 | |
| 0.9% | 1.5% | |
| 9.8 | 7.1 | |
| 3 days ago | 12 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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 2022-01-11.
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That time I optimized a Python program by 5000x
The report output for scalene does look much nicer, but the slowness for me dropped me from continuing to use it. Maybe there's some bad interaction with tensorflow/pytest. I can try to make an example, but I'd guess if you try running it on tensorflows actual unit tests (something like this) you'd get similar behavior.
- 5% of 666 Python repos had comma typo bugs (inc V8, TensorFlow and PyTorch)
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5 ways to keep your skills fresh after finishing a coding bootcamp
One way to improve your projects and coding skills is to try new models and libraries. For example, if you did classification with logistic regression, try also with random forest; if you used Tensorflow, now try Keras; if you scraped a website with BeautifulSoup, now do it with Scrapy. You get the point.
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[P] Walkthrough of Keras.Model Internals. Includes: distribution, performance optimizations, callbacks, training loop, and more.
The source for the keras.Model class has grown to be several thousand lines of code. This makes it incredibly challenging to sift through, especially for beginners.
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Data Science toolset summary from 2021
Keras - Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Link - https://keras.io/
- structuring larger projects, and good practises
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Steps_per_epoch=1
I think I found my answer here Thank you for your help
- Data Science with JavaScript: What we've learned so far?
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Top 10 Python Libraries for Machine Learning
Website: https://keras.io/ Github Repository: https://github.com/keras-team/keras Developed By: various Developers, initially by Francois Chollet Primary purpose: Focused on Neural Networks
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[D] Getting Started
I also recommend trying to understand the software that's being built by the machine learning class. If you want to build your own machine learning software, check out Keras (http://keras.io/) and the machine learning API's that Keras provides.
Prophet
Posts with mentions or reviews of Prophet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-22.
- Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting
- prophet: NEW Data - star count:13871.0
- Time series analysis of Bitcoin price in Python with fbprophet ?!
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[Q] How would you forecast trend of a time series based on external regressors?
This could be a good use case for Facebook Prophet. I’ve been using it for a few years. Some things I love:
What are some alternatives?
When comparing Keras and Prophet you can also consider the following projects:
tensorflow - An Open Source Machine Learning Framework for Everyone
scikit-learn - scikit-learn: machine learning in Python
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
greykite - A flexible, intuitive and fast forecasting library
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
MLflow - Open source platform for the machine learning lifecycle
darts - A python library for easy manipulation and forecasting of time series.
sktime - A unified framework for machine learning with time series