Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. (by facebook)
Keras
Deep Learning for humans (by keras-team)
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| Prophet | Keras | |
|---|---|---|
| 88 | 48 | |
| 14,431 | 55,214 | |
| 1.4% | 0.7% | |
| 6.5 | 9.9 | |
| 16 days ago | 2 days ago | |
| Python | Python | |
| MIT License | 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.
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.
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 2022-05-06.
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Reverse Engineering Video Game Stock Prices
Prophet is a forecasting model made by Facebook.
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ARIMA models are solid though
I like FB Prophet and LinkedIn's GreyKite
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LSTM/CNN architectures for time series forecasting[Discussion]
Prophet
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Basic Time Series Prediction
I like Meta's Prophet. It's a flexible model that I feel is easy to understand and explain to non-technical stakeholders. Implementations for R and python. It can be as simple as a univariate series, or accept exogenous explanatory variables (categorical & continuous). Seasonality is part of the model, out of the box. It also has decent default parameters if you're not looking to do a lot of tuning. Lastly, the documentation is quite thorough and approachable. https://facebook.github.io/prophet/
- prophet: NEW Data - star count:14301.0
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 2022-05-09.
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Should you shuffle the input for a word2vec negative sampling model before or after assigning negative context pairs for each target word?
I may have a few trust issues with the shuffle argument of keras' model.fit(), after experiencing this bug regarding shuffle='batch' first hand.
- Reciclaje 3.0
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Has anyone ever experienced this ? details in the comments.
it seems like other people have had this issue like another user mentioned when using dropout or BN (https://github.com/keras-team/keras/issues/6977) , the model does use dropout so that maybe it .
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How to define max_queue_size, workers and use_multiprocessing in keras fit_generator()?
Detailed explanation of model.fit_generator() parameters: queue size, workers and use_multiprocessing
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Negative dimension size caused by subtracting 3 from 1 for 'Conv2D'
I'm using Keras with Tensorflow as backend , here is my code:
- Python or javascript?
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How to get reproducible results in keras
Install Keras (http://keras.io/)
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20+ Free Tools & Resources for Machine Learning
Keras Keras is an API for neural networks that helps doing quick research.
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Installing Python3 in Linux
According to IBM, Artificial Intelligence (AI) is technology that instructs computers to mimic the human mind in decision-making and problem-solving. Machine Learning (ML) is a subset of AI that consist of procedures that leverage on mathematical data models and algorithms to make predictions. Python implements ML and AI with generally fewer lines of code and pre-built libraries and being a scientific language also comes in support of these technologies. Some of the libraries used in AI and ML include: Tensorflow, Scikit-Learn, Numpy, Keras, Theano
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How to build your own chatbot NLP engine
At the core of the Xatkit NLU engine we have a Keras/Tensorflow model.
What are some alternatives?
When comparing Prophet and Keras you can also consider the following projects:
tensorflow - An Open Source Machine Learning Framework for Everyone
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
scikit-learn - scikit-learn: machine learning in Python
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
darts - A python library for easy manipulation and forecasting of time series.
MLflow - Open source platform for the machine learning lifecycle
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
sktime - A unified framework for machine learning with time series