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Top 3 Go reinforcement-learning Projects
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goNEAT
The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
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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.
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mab
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Go reinforcement-learning related posts
- Spice AI - A platform that allows to create apps based on data and AI for Web 3
- Spice.ai v0.5.1-alpha is now available!
- Spice.ai v0.4-alpha is now available!
- Introducing Spice.ai - open source, time series AI for developers
- Introducing Spice.ai - open source, time series AI for developers
- TIL that in 1986 an astronomer trying to trace a 75 cent computer time discrepancy for 10 months eventually found a German hacker selling defense secrets to the KGB
-
A note from our sponsor - WorkOS
workos.com | 29 Apr 2024
Index
What are some of the best open-source reinforcement-learning projects in Go? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | luet | 246 |
| 2 | goNEAT | 73 |
| 3 | mab | 46 |
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