java-ranker
Easily Score & Rank JSON-Encodable Objects with ML (by improve-ai)
python-ranker
Contextual Multi-Armed Bandit Platform for Scoring, Ranking & Decisions (by improve-ai)
| java-ranker | python-ranker | |
|---|---|---|
| 1 | 4 | |
| 1 | 21 | |
| - | - | |
| 2.8 | 6.2 | |
| 26 days ago | about 1 year ago | |
| Java | Python | |
| MIT License | 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.
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.
java-ranker
Posts with mentions or reviews of java-ranker.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-20.
-
Dynamically Optimize Any Swift Object with Reinforcement Learning
Object optimization is available immediately for Python, iOS, and Android. See the Quick-Start Guide to learn more.
python-ranker
Posts with mentions or reviews of python-ranker.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-23.
-
Introduction to Thompson Sampling: The Bernoulli Bandit
I built a contextual bandit combining XGBoost with Thompson Sampling you can check out at https://improve.ai
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It's Okay to Make Something Nobody Wants
I’ll push back on this. I think most of us want some external validation that what we’re creating is useful and valuable.
I spent 2 solid years working on https://improve.ai and it’s gotten very little uptake. It’s taken a long time to emotionally get over putting that much blood, sweat, and money into something that almost no one values.
Going forward will be failing much faster and not giving my life energy to products that aren’t showing traction.
- Ranking, Scoring, Decisions, and Optimization with XGBoost
-
Dynamically Optimize Any Swift Object with Reinforcement Learning
Object optimization is available immediately for Python, iOS, and Android. See the Quick-Start Guide to learn more.
What are some alternatives?
When comparing java-ranker and python-ranker you can also consider the following projects:
ios-sdk - Easily Score & Rank Codable Objects with ML [Moved to: https://github.com/improve-ai/swift-ranker]
contextualbandits - Python implementations of contextual bandits algorithms
python-sdk - Ranking, Scoring, Decisions, and Optimization with XGBoost [Moved to: https://github.com/improve-ai/python-ranker]