rbondesan / CanonicalFlows
Canonical normalizing flows
☆10Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for CanonicalFlows
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 4 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆22Updated last year
- Implementation of Quantum Ising Born Machine☆19Updated 4 years ago
- Dive into Jax, Flax, XLA and C++☆31Updated 4 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Companion notebook for the article "Practical Quantum Computing with Cirq."☆12Updated 5 years ago
- Bayesian tensor network☆19Updated 4 years ago
- 18.A01: Seminar in Numerical Computing☆18Updated 6 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆31Updated 2 years ago
- Meta-VQE data and examples repository☆9Updated 4 years ago
- Hierarchical variational models for physics.☆18Updated 4 years ago
- ☆27Updated 4 years ago
- WuLiXueBao magazine article - automatic differentiation.☆15Updated 2 years ago
- Differentiable programming on quantum circuits with Flux☆19Updated 4 years ago
- ☆12Updated 4 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 4 years ago
- Jax-based MaxEnt☆18Updated 4 years ago
- A pytorch version of hamiltonian monte carlo☆12Updated 5 years ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 3 years ago
- Course Website☆9Updated 2 years ago
- lecture materials of the ML for Physics course 2021 in Perimeter Institute☆21Updated 3 years ago
- Fully connected neural nets for supervised learning DQMC data☆11Updated 8 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆34Updated 5 years ago
- ☆15Updated 3 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆13Updated 9 months ago
- Multivariate cumulants of any order☆14Updated last year
- ☆29Updated 2 years ago
- orbital MCMC☆10Updated 3 years ago
- Code for understanding automatic differentiation.☆8Updated 2 years ago
- Tutorial on machine learning many-body physics with Boltzmann machines☆15Updated 7 years ago