Metrics VS NuPIC

Compare Metrics vs NuPIC and see what are their differences.

Metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave (by benhamner)

NuPIC

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex. (by numenta)
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Metrics NuPIC
2 1
1,617 6,327
- -
0.0 0.0
over 1 year ago 8 months ago
Python Python
GNU General Public License v3.0 or later GNU Affero 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.

Metrics

Posts with mentions or reviews of Metrics. We have used some of these posts to build our list of alternatives and similar projects.
  • Model evaluation - MAP@K
    1 project | dev.to | 14 Apr 2022
    Starting with Python we’re going to code the functions from scratch using the values determined from the linear regression model. First we’re going to write a function to calculate the Average Precision at K. It will take in three values, the value from the test set, and value from the model prediction, and finally the value for K. This code can be found in the Github for the ml_metrics Python Library.
  • How to Judge your Recommendation System Model ?
    1 project | dev.to | 9 Feb 2021
    These metrics are straightforward to implement, also can be obtained from here. Happy Learning !

NuPIC

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

What are some alternatives?

When comparing Metrics and NuPIC you can also consider the following projects:

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

tensorflow - An Open Source Machine Learning Framework for Everyone

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

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.

Keras - Deep Learning for humans

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

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

gym - A toolkit for developing and comparing reinforcement learning algorithms.