eth-nn-physics / nn_physical_concepts
☆170Updated last year
Related projects ⓘ
Alternatives and complementary repositories for nn_physical_concepts
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆91Updated 3 months ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆67Updated 5 years ago
- physics meets neural networks☆94Updated 5 years ago
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆181Updated 3 years ago
- Python implementation of the Ising model☆57Updated 4 years ago
- Code for "Machine Learning for Physicists" lecture series by Florian Marquardt☆277Updated 4 months ago
- A simple neural network solver for the 1-D Schrödinger equation.☆43Updated 7 years ago
- Numerically solve the Fokker-Planck equation in N dimensions☆82Updated last year
- Computational Physics☆142Updated 2 years ago
- Numerical integration of Ito or Stratonovich SDEs☆157Updated last year
- Code for our paper "Hamiltonian Neural Networks"☆428Updated 3 years ago
- Quantum dynamics latent neural ode☆20Updated 2 years ago
- This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …☆83Updated 2 years ago
- ☆111Updated 6 years ago
- Differentiable Programming Tensor Networks☆139Updated 3 years ago
- "Deep Learning and Quantum Programming" Spring School @ Song Shan Lake☆175Updated 4 years ago
- Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy☆75Updated last year
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 5 years ago
- A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analy…☆56Updated 8 years ago
- High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).☆166Updated this week
- Tensor Train Toolbox☆105Updated last week
- Machine learning Calabi-Yau metrics with JAX☆15Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆112Updated 2 years ago
- PyTorch toolbox for matrix product state models☆139Updated 7 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆70Updated last year
- Codes used for the classical and simulated quantum annealing numerical experiments of https://arxiv.org/abs/2101.10154☆21Updated 3 years ago
- ☆116Updated 5 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆74Updated 5 months ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆34Updated 5 years ago