As claims of quantum advantage emerge, this project provides a platform-agnostic framework to collect, validate, and compare experimental results.

Minimal matrix-product state algorithms library.

A Python library to automate generating, parallelizing, and executing quantum programs.

SeisBench - A toolbox for machine learning in seismology

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Tensor-Train decomposition in pytorch

Ab initio simulator for thermal transport and lattice anharmonicity

Reasoning over knowledge graphs using tensor-based methods

Code for Exact Diagonalization of Quantum Many-Body Hamiltonians and Lattice (Abelian and Non-Abelian) Gauge Theories in D=1,2,3 spatial dimensions

Modular Multi-Agent System for Scientific Research Assistance

A randomized algorithm for the compressed MPS MPO product

Tensor Train via Recursive Sketching

Awesome machine learning for combinatorial optimization papers.

Master programming by recreating your favorite technologies from scratch.

Tensor Networks for Machine Learning

FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees

Riemannian Adaptive Optimization Methods with pytorch optim

Awesome resources on normalizing flows.

rtd-reservoir-ecg

Code for the paper Normalizing Flows are Capable Models for RL

Continuous Representation Methods, Theories, and Applications: An Overview

Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.