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

Maximum entropy and minimum divergence models in Python

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

NLP-Maximum-entropy Markov model

GPU Framework for Radio Astronomical Image Synthesis

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

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

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

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

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

MaxEnt is an easy-to-run code 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.

Various machine learning algorithm implementation tastes made of Python and Numpy. Enjoy!

estimate density from samples of population using maximum entropy approach

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

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