Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

maximum entropy based part-of-speech tagger for NLTK

Package for analytic continuation of many-body Green's functions

PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN

Maximum entropy and minimum divergence models in Python

Entropy Pooling in Python with a BSD 3-Clause license.

NLP-Maximum-entropy Markov model

GPU Framework for Radio Astronomical Image Synthesis

Implementations of Maximum Entropy Algorithms for solving Inverse Reinforcement Learning problems.

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

Java tools to do natural language processing like NER and intent classification on short sentences

Maximum entropy named-entity recognition (NER)

High Resolution Spectrum Estimation

MaxEnt is a Matlab toolbox for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.

A simple maximum entropy model for named entity recognition.

The code of MESC (Maximum Entropy Subspace Clustering Network), which is accepted by IEEE TCSVT 2021.

Inverse Reinforcement Learning Algorithm implementation with Python

estimate density from samples of population using maximum entropy approach

Nonparametric plotting and analysis tool for estimating a one-dimensional data sample. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000231

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization