Habush

annotation-graph

atomspace-rpc

A gRPC server and client to execute pattern matching queries

biocypher-metta

Knowledge Graph importation that outputs MeTTa scripts using the [Biocypher](https://github.com/biocypher/biocypher) framework

asmoses

Port of MOSES (https://github.com/opencog/moses) for the AtomSpace (https://github.com/opencog/atomspace)

blackjax

BlackJAX is a sampling library designed for ease of use, speed and modularity.

bnn_bg

This repository contains the code for the paper "Incorporating graph-based prior knowledge into Bayesian Neural Networks"

DMALAX

Discrete Metropolis-Adjusted Langevin Algorithm in Jax!

fibers

Concurrent ML-like concurrency for Guile

lrb

coordinate descent for l1-regularized logistic regression with optionally bounded weights

nam_jax

Jax-based implementation of Neural Additive Models

agi-bio

annotation-scheme

annotation-service

atomspace

The OpenCog hypergraph database, query system and rule engine

cogutil

Very low-level C++ programming utilities used by several components

external-tools

External, stand-alone tools that work with OpenCog

guile-websocket

horseshoe-bnn

A Bayesian Neural Network with a horseshoe prior for improved interpretability

keto

Open Source (Go) implementation of "Zanzibar: Google's Consistent, Global Authorization System". Ships gRPC, REST APIs, newSQL, and an easy and granular permission language. Supports ACL, RBAC, and other access models.

knowledge-import

Import scripts for the Bio-Atomspace

morphism

Aligning embedding vector differences with uncertain intensional logic differences

moses-incons-pen-xp

moses_crossval

netZooPy

netZooPy is a network biology package implemented in Python.

pln

Probabilistic Logic Network (PLN) implemented on top of the Unified Rule Engine (URE). https://wiki.opencog.org/w/Probabilistic_logic_networks

pln-brca-xp

PRML

PRML algorithms implemented in Python

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

Sklearn-genetic-opt

Hyperparameters tuning and feature selection, using evolutionary algorithms.

xabush.github.io