There are 4 repositories under maximum-entropy topic.
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
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.
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)
MaxEnt is a Matlab toolbox for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.
Inverse Reinforcement Learning Algorithm implementation with Python
GRAMEP - Genome vaRiation Analysis from the Maximum Entropy Principle
Solve Wordle and Dungleon puzzles with information theory.
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
Integrated Mathematics Projects - LOGISTICS, FINANCE, CREDIT, ENGINEERING, HEALTH AND OTHERS
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
Convex Accelerated Maximum Entropy Reconstruction Algorithm
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.
Various machine learning algorithm implementation tastes made of Python and Numpy. Enjoy!
Implementation of relation extraction between entities in texts, feature engineering with Maximum Entropy template, provided by Mallet.
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
Evaluating the Robustness of MaxEnt RL via Energy-Based Flows
Estimating Origin-Destination (OD) matrix for a transportation network by maximizing Entropy and minimizing Least-Square Error
Ising Spin Model Fitting on GPU using thrml and jax