Kleyt0n

jraph

A Graph Neural Network Library in Jax

awesome-graph-self-supervised-learning

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

learning-synthetic-data

Package to run learning experiments on synthetic datasets using dnner package for replica entropy computations

MINE-PyTorch

nonlinear-IB-PyTorch

Pytorch Implementation of the Nonlinear Information Bottleneck

f-FERM

nolds

Nonlinear measures for dynamical systems (based on one-dimensional time series)

shap

A game theoretic approach to explain the output of any machine learning model.

BayLime

bayesian lime

shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

brain-and-Information-Bottleneck

brain data analysis and graph information bottleneck

InfoGraph

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

LDS-GNN

Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

Graph_Neighborhood_1

First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning

GIB

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

n2n

This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization".

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

GPy

Gaussian processes framework in python

textgrad

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

InformationGeometry.jl

Methods for computational information geometry

awesome-information-geometry

About A collection of AWESOME things about information geometry Topics

TGB

Temporal Graph Benchmark project repo

flax

Flax is a neural network library for JAX that is designed for flexibility.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

arviz

Exploratory analysis of Bayesian models with Python

gs-quant

Python toolkit for quantitative finance

fairlearn

A Python package to assess and improve fairness of machine learning models.

mlx-graphs

Graph Neural Network library made for Apple Silicon

GraphAny

GraphAny: A foundation model for node classification on any graph.