There are 4 repositories under maximum-entropy topic.
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
GPU Framework for Radio Astronomical Image Synthesis
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)
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.
The code of MESC (Maximum Entropy Subspace Clustering Network), which is accepted by IEEE TCSVT 2021.
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
Various machine learning algorithm implementation tastes made of Python and Numpy. Enjoy!
estimate density from samples of population using maximum entropy approach
This repo contains my undergraduate thesis work where I tried to combine ILP with MaxEnt.
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.
Convex Accelerated Maximum Entropy Reconstruction Algorithm
Inverse Reinforcement Learning Algorithm implementation with Python
Implementation of relation extraction between entities in texts, feature engineering with Maximum Entropy template, provided by Mallet.
Improving Generalization by Training on Random Noise
Utilities for generating maximum entropy textures according to Victor and Conte 2012. **GitHub mirror**: development happens at https://gitlab.com/epiasini/metex
Sentiment analysis of some algorithms with data bases in the NLTK library
Solve Wordle and Dungleon puzzles with information theory.
GRAMEP - Genome vaRiation Analysis from the Maximum Entropy Principle