Metrics VS neptune-contrib

Compare Metrics vs neptune-contrib and see what are their differences.

Metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave (by benhamner)
Machine Learning
Source Code
Suggest alternative
Edit details

neptune-contrib

This library is a location of the LegacyLogger for PyTorch Lightning. (by neptune-ai)
Machine Learning neptune Data Science Deep Learning deep-reinforcement-learning Python Python3 neptune-platform reinforcement-learning Integration Integrations
Source Code
neptune-contrib.readthedocs.io
Docs
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Metrics neptune-contrib
2 -
1,617 27
- -
0.0 0.0
over 1 year ago over 1 year 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.

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 !

neptune-contrib

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

We haven't tracked posts mentioning neptune-contrib yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Metrics and neptune-contrib you can also consider the following projects:

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

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

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

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

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

Metrics vs seqeval neptune-contrib vs scikit-learn Metrics vs tensorflow neptune-contrib vs Keras Metrics vs xgboost neptune-contrib vs tensorflow Metrics vs Keras neptune-contrib vs bodywork Metrics vs scikit-learn neptune-contrib vs xgboost Metrics vs gym neptune-contrib vs TFLearn