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

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

maximum entropy based part-of-speech tagger for NLTK

Maximum entropy and minimum divergence models in Python

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

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

NLP-Maximum-entropy Markov model

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

GPU Framework for Radio Astronomical Image Synthesis

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.

GRAMEP - Genome vaRiation Analysis from the Maximum Entropy Principle

Solve Wordle and Dungleon puzzles with information theory.

Inverse Reinforcement Learning Algorithm implementation with Python

Integrated Mathematics Projects - LOGISTICS, FINANCE, CREDIT, ENGINEERING, HEALTH AND OTHERS

A simple maximum entropy model for named entity recognition.

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

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

estimate density from samples of population using maximum entropy approach

Convex Accelerated Maximum Entropy Reconstruction Algorithm

Here, we propose an adaptive random walk (ARW), which, differently from the maximum entropy random walk, maximizes dispersion by updating its transition rule on the local information collected while exploring the network. The ARW is obtained via a large-deviation representation of the MERW as a finite-time rare event of an unbiased random walk and study its dynamics on synthetic and real-world networks.

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

Explainable Data Decompositions with Disc (AAAI 2020)

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java实现，此最大熵参考了java上opennlp包的最大熵及python上nltk的最大熵部分实现，并进行了一些改动。算法包含gis及iis实现，内含详细中文注释，附上训练及测试数据

This repo contains my undergraduate thesis work where I tried to combine ILP with MaxEnt.

Implementation of relation extraction between entities in texts, feature engineering with Maximum Entropy template, provided by Mallet.