A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
MIT License
Computational framework for reinforcement learning in traffic control
1D-1V Vlasov-Poisson(-Fokker-Planck), Plasma Physics PDE Simulation Tool in NumPy and experiment ...
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
A Python package for building Bayesian models with TensorFlow or PyTorch
Source code for the ICLR'22 paper on "Half-Inverse Gradients"
A differentiable PDE solving framework for machine learning
Code for Variational AutoEncoder(VAE) using tensorflow
dev repo for tensorcircuit, dont follow beta branch as upstream since its history can be changed
Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VIN...
VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
A deep learning package for many-body potential energy representation and molecular dynamics