Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
☆15Sep 23, 2022Updated 4 years ago
Alternatives and similar repositories for Deeplearning-Beginner
Users that are interested in Deeplearning-Beginner are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Exact Diagonalization for Hubbard model/Tight-binding model by MatheMatica☆15Jun 1, 2023Updated 3 years ago
- Monte Carlo simulation for classical spin system implemented by metropolics/wolff_cluster... algorithm☆16Sep 25, 2024Updated 2 years ago
- My completed PhD Thesis on Understanding Crystal Growth☆14Jan 6, 2023Updated 3 years ago
- A collection of scripts for producing and analyzing simulations, for computational materials science.☆11Jun 10, 2015Updated 11 years ago
- Gradual conversion to python☆25Sep 24, 2019Updated 7 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.
- Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…☆36Jan 26, 2018Updated 8 years ago
- BerkeleyGW examples☆20Feb 23, 2024Updated 2 years ago
- HAL's MD package: Highly Accelerated Large-scale Molecular Dynamics simulations☆24Oct 1, 2026Updated last week
- e3nn tutorial for Materials Research Society Fall Meeting 2021☆14Nov 29, 2021Updated 4 years ago
- ☆18Mar 16, 2026Updated 6 months ago
- ☆16Sep 20, 2024Updated 2 years ago
- Collection of commonly used Green's functions and utilities☆21Updated this week
- PyDiatomic solves the time-independent coupled-channel Schroedinger equation using the Johnson renormalized Numerov method. This is very …☆16Dec 31, 2025Updated 9 months ago
- Convolutional neural net to classify states of the classical Ising gauge theory (TensorFlow)☆10May 10, 2016Updated 10 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆17Oct 21, 2021Updated 4 years ago
- Python tools for quantum dynamics, light-matter interaction, spectroscopy, nonadiabatic molecular dynamics, open systems, and electronic …☆25Updated this week
- Time-reversal Euclidean neural networks based on e3nn☆20Sep 29, 2024Updated 2 years ago
- A tool for constructing accurate machine learning force fields in moir\'e systems☆21Feb 12, 2026Updated 7 months ago
- Soft Active Matter on Surfaces☆32Apr 16, 2025Updated last year
- ☆19Jan 27, 2020Updated 6 years ago
- Library for simplifying linear spin wave calculations.☆16Oct 21, 2019Updated 6 years ago
- A machine learning workflow for calculating the electron-phonon coupling (EPC)☆39Aug 20, 2026Updated last month
- ☆30Oct 17, 2024Updated last year
- 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.
- ☆25Jan 20, 2025Updated last year
- ☆24Aug 16, 2018Updated 8 years ago
- ☆25Nov 10, 2020Updated 5 years ago
- A python wrapper for doing ED calculations on many-body systems☆30Dec 22, 2022Updated 3 years ago
- A numerical solver package for a wide range of quantum lattice models based on many-variable Variational Monte Carlo method☆68Updated this week
- A mirror of https://gitlab.kwant-project.org/qt/qsymm☆41Mar 20, 2026Updated 6 months ago
- Fast, hackable neural-network force fields and molecular dynamics in JAX.☆47Sep 29, 2026Updated last week
- Package to perform tight binding calculation in tight binding models, with a friendly user interface☆48Aug 6, 2021Updated 5 years ago
- Monte Carlo framework that provides MPI parallelization, checkpointing and statistical postprocessing in an algorithm-agnostic way.☆59Apr 24, 2026Updated 5 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- sneg is a Mathematica package for performing algebraic calculation with non-commuting operators in many-particle physics☆65Sep 25, 2026Updated 2 weeks ago
- A relaxed kp model of twisted bilayer graphene☆49Jun 27, 2023Updated 3 years ago
- Berry curvature and Chern number calculations with the output (WAVECAR) of VASP code☆89Updated this week
- Tight-binding package written in Julia☆64Nov 19, 2023Updated 2 years ago
- ☆79Sep 27, 2023Updated 3 years ago
- A very Beautiful LaTeX Book Template, Happy LaTeXing!☆169Jan 6, 2026Updated 9 months ago
- Quantum Lattice Model Simulator Package☆104Updated this week