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bayesiankerneltesting

Code and example scripts for the Bayesian Kernel Two-Sample Testing project.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayespy

Bayesian Python: Bayesian inference tools for Python

bihnns

The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).

biomass-blending-analysis

blueprints-text

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

bmcmc

MCMC package for Bayesian data analysis

bqcd

Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery

calliope

A multi-scale energy systems modelling framework

cantera

Chemical kinetics, thermodynamics, and transport tool suite

cardinal

High-Fidelity Multiphysics

cashflows

Financial investment modeling and advanced engineering economics using Python

causal-learn

Causal Discovery in Python. Translation and extension of the Tetrad Java code.

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

causality

Tools for causal analysis

chama

Python package for sensor placement optimization

chemdataextractor

Pipeline for automated extraction of chemical property information from scientific documents

chemical

Modelica Library of Chemical and Electrochemical Processes

chemnlp

ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data

climax

Foundation model for weather & climate

clinicalbert

repository for Publicly Available Clinical BERT Embeddings

core

Codebase for the paper: "CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning"

coreferee

Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

corner.py

Make some beautiful corner plots

cortix

Cortix is a Python library for network dynamics modeling and HPC simulation.

crosslingual-coreference

A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

cs231n.github.io

Public facing notes page

dagma

A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"