maxent-learner-hw VS f-IRL

Compare maxent-learner-hw vs f-IRL and see what are their differences.

maxent-learner-hw

A tool for automatically inferring phonotactic grammars from a lexicon and using those grammars to generate random text (by george-steel)
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maxent-learner-hw f-IRL
1 2
9 35
- -
2.4 1.8
about 2 months ago 10 months ago
Haskell Python
LicenseRef-GPL 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.

maxent-learner-hw

Posts with mentions or reviews of maxent-learner-hw. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-07.

f-IRL

Posts with mentions or reviews of f-IRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-12.

What are some alternatives?

When comparing maxent-learner-hw and f-IRL you can also consider the following projects:

threepenny-gui - GUI framework that uses the web browser as a display.

Meta-SAC - Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

nixos-manager - Manage your NixOS packages and configuration via a simple, intuitive UI

falken - Falken provides developers with a service that allows them to train AI that can play their games

gi-atk - Generate Haskell bindings for GObject-Introspection capable libraries

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

ipa-dict - Monolingual wordlists with pronunciation information in IPA

eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

imitation - Clean PyTorch implementations of imitation and reward learning algorithms

tianshou - An elegant PyTorch deep reinforcement learning library.