recurrent-fwp VS rwa

Compare recurrent-fwp vs rwa and see what are their differences.

recurrent-fwp

Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021) (by IDSIA)
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recurrent-fwp rwa
1 -
46 601
- -
0.7 0.0
about 1 year ago about 4 years ago
Python Python
- 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.
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recurrent-fwp

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

rwa

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

We haven't tracked posts mentioning rwa yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing recurrent-fwp and rwa you can also consider the following projects:

returnn - The RWTH extensible training framework for universal recurrent neural networks

nptyping - 💡 Type hints for Numpy and Pandas

scikit-learn - scikit-learn: machine learning in Python

tensorflow - An Open Source Machine Learning Framework for Everyone

Keras - Deep Learning for humans

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

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

tfgraphviz - A visualization tool to show a TensorFlow's graph like TensorBoard

MindsDB - The platform for customizing AI from enterprise data

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

MLflow - Open source platform for the machine learning lifecycle