ml4physicalsciences / ml4physicalsciences.github.io
Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference
☆19Updated this week
Related projects ⓘ
Alternatives and complementary repositories for ml4physicalsciences.github.io
- ☆31Updated 4 years ago
- FNAL LPC Machine Learning HATS☆18Updated last month
- Things that make me feel productive☆15Updated 2 years ago
- Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"☆47Updated 2 months ago
- ☆16Updated 2 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆9Updated 2 years ago
- For developing and reproducing ML + HEP projects.☆22Updated this week
- Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.☆37Updated this week
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆31Updated 2 years ago
- Tutorials for a mini course in machine learning and quantum physics☆42Updated 5 years ago
- PhysicsML Blog☆28Updated 3 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆50Updated 2 years ago
- generate time continuous stochastic process for a given correlation function using Karhunen-Loève expansion☆10Updated 7 months ago
- Code to estimate Renormalized Mutual Information in simple settings☆12Updated 3 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 4 years ago
- Simulating quantum circuits with JAX☆58Updated 7 months ago
- A project on Fourier grid Hamiltonian method and Quantum Monte Carlo method☆17Updated 7 years ago
- ☆24Updated 4 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 5 years ago
- Tutorial Code for MLHEP pyprob☆18Updated last year
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- PyTheus, a highly-efficient inverse-design algorithm for quantum optical experiments☆35Updated last week
- Meta-VQE data and examples repository☆9Updated 4 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆34Updated 5 years ago
- Testing using AI and ML techniques to solve quantum systems☆14Updated 2 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- Provides differentiable versions of common HEP operations and objectives.☆24Updated last year
- Repository for figures and tex files of the book "Modern applications of machine learning in quantum sciences"☆19Updated 2 weeks ago
- Announcements and nodes for my 2018 course in Computational Physics☆54Updated 5 years ago
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semest…☆16Updated 3 years ago