Automatic High-Order Optimization for Tensors
☆22Apr 14, 2023Updated 2 years ago
Alternatives and similar repositories for AutoHOOT
Users that are interested in AutoHOOT are comparing it to the libraries listed below
Sorting:
- Tools for using AD to optimize tensor networks, built on top of ITensor and AutoHOOT.☆14Sep 23, 2022Updated 3 years ago
- Blog post☆17Feb 16, 2024Updated 2 years ago
- This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)☆19Oct 24, 2022Updated 3 years ago
- TTC: A high-performance Compiler for Tensor Transpositions☆21Oct 19, 2017Updated 8 years ago
- Code repository for "Multi-Task Encoder-Dual-Decoder Modeling Framework on Mixed Frequency Data", International Journal of Forecasting, 2…☆12Feb 18, 2024Updated 2 years ago
- ☆28Jun 25, 2021Updated 4 years ago
- Stochastic Optimization under Uncertainty in Python.☆36May 29, 2025Updated 9 months ago
- ☆11Mar 24, 2021Updated 4 years ago
- Hyper optimized contraction trees for large tensor networks and einsums☆231Updated this week
- PyTorch implementation of the Hessian-free optimizer☆36Jun 14, 2024Updated last year
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- ☆11Mar 2, 2022Updated 4 years ago
- Code for reviewers☆12Oct 8, 2024Updated last year
- Repository for score-based transport modeling.☆11Jul 22, 2023Updated 2 years ago
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Jan 7, 2020Updated 6 years ago
- ☆12Nov 21, 2023Updated 2 years ago
- Algorithm for Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening☆12Aug 5, 2025Updated 7 months ago
- ☆10Nov 28, 2023Updated 2 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Aug 8, 2022Updated 3 years ago
- Julia package for simple iTEBD calculation.☆11May 20, 2025Updated 9 months ago
- Augmented Sliced Wasserstein Distances☆10Jun 14, 2025Updated 8 months ago
- Bundle Methods in Julia☆10Sep 4, 2024Updated last year
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Aug 12, 2023Updated 2 years ago
- Simulating the fractional quantum Hall effect with neural network variational Monte Carlo☆20Sep 12, 2025Updated 5 months ago
- Transformer and Neural Operator for solving Stochastic PDE☆12May 22, 2022Updated 3 years ago
- Fast tensor disentangling algorithm☆10Jun 4, 2021Updated 4 years ago
- A boilerplate for seamlessly integrating PyTorch's Distributed Data Parallel (DDP) with SLURM job scheduling and Weights and Biases. Kick…☆10Aug 21, 2023Updated 2 years ago
- ☆17Mar 17, 2023Updated 2 years ago
- Official Implementation of ACL2023: Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span …☆14Aug 25, 2023Updated 2 years ago
- Implementation of Nonparametric Hamiltonian Monte Carlo☆13Feb 13, 2023Updated 3 years ago
- ☆11May 31, 2023Updated 2 years ago
- IBM Quantum Experience Wrapper☆16Feb 23, 2024Updated 2 years ago
- A collection of structured optimization algorithms for two-stage (L-shaped) stochastic programs, written in Julia.☆11Feb 26, 2019Updated 7 years ago
- A MATLAB software for convex quadratic semidefinite programming☆14Oct 1, 2020Updated 5 years ago
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆10Oct 19, 2025Updated 4 months ago
- We implement an efficient mechanism for compressing large networks by {\em tensorizing\/} network layers: i.e. mapping layers on to high-…☆11Jul 10, 2018Updated 7 years ago
- ☆12Jul 6, 2018Updated 7 years ago
- Calculate the groundstate energy of 1D and 2D Fermi-Hubbard model on the GPU with Cuda.☆14Aug 30, 2017Updated 8 years ago
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆18Mar 15, 2024Updated last year