iaifi / summer-school-2022Links
☆16Updated 3 years ago
Alternatives and similar repositories for summer-school-2022
Users that are interested in summer-school-2022 are comparing it to the libraries listed below
Sorting:
- Things that make me feel productive☆15Updated 3 years ago
- ☆34Updated 5 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆32Updated 5 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 2 weeks ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- Tutorial Code for MLHEP pyprob☆18Updated 2 years ago
- ☆19Updated 3 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Updated 3 years ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- Implementation of various equivariant models in JAX☆12Updated last year
- A collection of lectures and tutorials☆24Updated last year
- Wigner's 3J, 6J, 9J symbols for python☆22Updated 6 months ago
- Neural Monte Carlo Renormalization Group☆15Updated 5 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Updated 3 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆29Updated 2 months ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆24Updated 2 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- An example showing how to use jax to train resnet50 on multi-node multi-GPU☆20Updated 3 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆36Updated 7 years ago
- Computational graph states for variational monte carlo☆17Updated 6 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆98Updated 7 months ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆80Updated 6 years ago
- Bayesian tensor network☆21Updated 6 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- E(n) Equivariant GNN in jax☆14Updated 2 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 6 years ago
- Hierarchical variational models for physics.☆18Updated 5 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆33Updated 7 years ago
- Bibtex for various Python science and machine learning software☆33Updated 3 years ago
- Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.☆51Updated 2 months ago