Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. (by facebook)
tensorflow
An Open Source Machine Learning Framework for Everyone (by tensorflow)
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| Prophet | tensorflow | |
|---|---|---|
| 88 | 139 | |
| 14,431 | 164,981 | |
| 1.4% | 0.6% | |
| 6.5 | 10.0 | |
| 16 days ago | 2 days ago | |
| Python | C++ | |
| 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
tensorflow
Posts with mentions or reviews of tensorflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-16.
- TensorFlow 2.9.0
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How could I use batch normalization in TensorFlow?
I would like to use batch normalization in TensorFlow. I found the related C++ source code in core/ops/nn_ops.cc. However, I did not find it documented on tensorflow.org.
- [P] Neural Network for Image Classification
- When I'm on a project & cloning a repo, which branch should I clone?
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If data science uses a lot of computational power, then why is python the most used programming language?
For reference: In Tensorflow and JAX, for example, the tensor gets compiled to the intermediate XLA format (https://www.tensorflow.org/xla), then passed to the XLA complier (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/xla/service) or the new TFRT runtime (https://github.com/tensorflow/runtime/blob/master/documents/tfrt_host_runtime_design.md), or some more esoteric hardware (https://github.com/pytorch/glow).
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FFmpeg for Super Resolution on Ubuntu 20.04 : libtensorflow_framework Relink Error
Looks like it's tensorflow-related, however I have verified that tensorflow is working properly on my system. I could find nothing on Google, there's just one thread discussing exactly the same error (here), however there is still no solution as well. I am aware the error is not symlink related, but just in case this information is needed : (or see in gist)
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[Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource?
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TensorFlow saving into/loading a graph from a file
Save a model into a .pb file and load it back in using tf.train.write_graph() and tf.import_graph_def() (source)
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What's the purpose of tf.app.flags in TensorFlow?
And I found the implementation of this flags is in the tensorflow/tensorflow/python/platform/default/_flags.py
What are some alternatives?
When comparing Prophet and tensorflow you can also consider the following projects:
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
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
scikit-learn - scikit-learn: machine learning in Python
greykite - A flexible, intuitive and fast forecasting library
darts - A python library for easy manipulation and forecasting of time series.
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
PyBrain
Keras - Deep Learning for humans
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
MLflow - Open source platform for the machine learning lifecycle