Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

Species distribution modeling tools, including a python implementation of Maxent

Faster, better, smarter ecological niche modeling and species distribution modeling

Tools for working with Maxent in R

Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.

A flexible Python platform for Regularized Maximum Likelihood imaging

Lectures on Bayesian statistics and information theory

Convenient Interface to Inverse Ising (ConIII)

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

Detects Outliers and plots genomic clines from BGC output, and extends the plotting functionality of INTROGRESS to Correlate genomic clines and hybrid indices with Environmental Variables

TRIQS-based Stochastic Optimization Method for Analytic Continuation

Maximum entropy named-entity recognition (NER)

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Probabilistic Graphical Model

Models of humans' social interaction with Statistical Physics, Bayesian Methods and Information Theory

Source code for CSNE: Conditional Signed Network Embeddings (CIKM2020)

Sentiment Analysis Using Python NLTK. This Repository contains 3 models for Sentiment Analysis: 1. Naive Bayes 2. MaxEnt Model 3. SVM Model

Web application for specie distribution modelling using maxent classifier

R code used for the analyses of the paper: Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using different taxa