Automatic High-Order Optimization for Tensors
☆22Apr 14, 2023Updated 3 years ago
Alternatives and similar repositories for AutoHOOT
Users that are interested in AutoHOOT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tools for using AD to optimize tensor networks, built on top of ITensor and AutoHOOT.☆14Sep 23, 2022Updated 3 years ago
- C++ library for tensor computations☆37Apr 27, 2023Updated 3 years ago
- TTC: A high-performance Compiler for Tensor Transpositions☆20Oct 19, 2017Updated 8 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 3 years ago
- Fast tensor disentangling algorithm☆10Jun 4, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆13Jul 3, 2026Updated 2 months ago
- Communication Avoiding Numerical Dense Matrix Computations☆11Dec 20, 2020Updated 5 years ago
- The Surprisingly ParalleL spArse Tensor Toolkit.☆73Mar 3, 2022Updated 4 years ago
- Hyper optimized contraction trees for large tensor networks and einsums☆248Updated this week
- Blog post☆17Feb 16, 2024Updated 2 years ago
- ☆28Jun 25, 2021Updated 5 years ago
- IBM Quantum Experience Wrapper☆16Feb 23, 2024Updated 2 years ago
- Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"☆14Nov 5, 2023Updated 2 years ago
- ☆16Apr 26, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch implementation of the Hessian-free optimizer☆36Jun 14, 2024Updated 2 years ago
- TreeFuser is a tool that perform traversals fusion for recursive tree traversals written in subset of the c++ language.☆11Aug 13, 2023Updated 3 years ago
- Aquarius is a parallel quantum chemistry package built on the Cyclops Tensor Framework which provides high-performance structured tensor …☆28Mar 6, 2024Updated 2 years ago
- Examples for running TeNPy☆16Jul 22, 2026Updated last month
- Generic tensor networks for solution space properties.☆117Jul 28, 2025Updated last year
- Sentiment analysis from tweets using QNLP (Quantum Natural Language Processing)☆12Nov 25, 2021Updated 4 years ago
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆11Aug 23, 2026Updated 2 weeks ago
- Calculate the groundstate energy of 1D and 2D Fermi-Hubbard model on the GPU with Cuda.☆14Aug 30, 2017Updated 9 years ago
- Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).☆22Nov 10, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Automated discovery of optimal branching rules for the branch-and-bound algorithm☆19Dec 15, 2025Updated 8 months ago
- A C++ library for rapidly creating efficient tensor network calculations☆11Dec 27, 2019Updated 6 years ago
- Julia package for simple iTEBD calculation.☆10Jun 10, 2026Updated 2 months ago
- ☆22Sep 16, 2024Updated last year
- Strassen's Algorithm for Tensor Contraction☆15Jul 7, 2017Updated 9 years ago
- Tutorials to Tensor Network Toycodes and TeNPy with toycodes☆26Mar 24, 2025Updated last year
- The project page of paper: Aha! Adaptive History-driven Attack for Decision-based Black-box Models [ICCV 2021]☆10Feb 23, 2022Updated 4 years ago
- ☆11Mar 2, 2022Updated 4 years ago
- Algorithm for Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening☆12Aug 5, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Hybrid Quantum-Classical LLM NLP Model: Enhancing Text Classification with Quantum Kernels. Dataset from https://www.kaggle.com/datasets…☆14Apr 11, 2025Updated last year
- Stochastic Optimization under Uncertainty in Python.☆38May 29, 2025Updated last year
- Catamount is a compute graph analysis tool to load, construct, and modify deep learning models and to symbolically analyze their compute …☆14May 18, 2021Updated 5 years 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 8 years ago
- Parallel implementation of k-means clustering using MPI4PY and PyCUDA.☆10Mar 11, 2019Updated 7 years ago
- Differentiable Spline Approximations☆14Sep 3, 2023Updated 3 years ago
- Introduction to DMRG, TDVP and TeNPy☆19Dec 14, 2021Updated 4 years ago