Stars
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Reasoning over knowledge graphs using tensor-based methods
Minimal matrix-product state algorithms library.
Ab initio simulator for thermal transport and lattice anharmonicity
VMML / tntorch
Forked from rballester/tntorchTensor Network Learning with PyTorch
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
Pytorch Real-Time Image Classification with CNN
Modular Multi-Agent System for Scientific Research Assistance
Quantum Krylov algorithm for solving the lattice Schwinger model
Code for Exact Diagonalization of Quantum Many-Body Hamiltonians and Lattice (Abelian and Non-Abelian) Gauge Theories in D=1,2,3 spatial dimensions
Tensorflow implementation of WGAN (Wasserstein Generative Adversarial Networks)
A randomized algorithm for the compressed MPS MPO product
Simulation of chemical dynamics in high dimensionality with low-rank functional tensor-train Chebyshev (FTTC) quantum dynamics
Library for computing with multidimensional functions
Code for the paper Normalizing Flows are Capable Models for RL
Riemannian Adaptive Optimization Methods with pytorch optim
Official implementation of "Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery," IEEE TPAMI, 2023
Continuous Representation Methods, Theories, and Applications: An Overview
A JAX implementation of a Convolutional Neural Network (CNN) for classifying handwritten digits from the MNIST dataset.
This repository offers a hands-on guide to machine learning with Python, featuring a Jupyter notebook on data processing, regression techniques, evaluation, and optimization. It's suitable for lear…
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…
Awesome resources on normalizing flows.