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Koç University deep learning framework.
Differentiable, Hardware Accelerated, Molecular Dynamics
🎨 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).
Training Very Deep Neural Networks Without Skip-Connections
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Julia package for automated Bayesian inference on a factor graph with reactive message passing
Material for the 2021 GPU workshop at JuliaCon
A research-grade quantum chemistry program written in Julia
Julia package to compute trap-assisted electron and hole capture in semiconductors
Mathematical Introduction to Electronic Structure Theory
Numerical stabilization routines for determinant quantum Monte Carlo
Code repository for a tutorial based on the "Direct prediction of phonon density of states with Euclidean neural networks"
Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.
DMFT with CTQMC. The Dynamical Mean Field Theory (DMFT) with the continuous-time auxiliary-field Quantum Monte Carlo method with Julia 1.0.0.
Julia package for simulating quantum evolution, including quantum Bayesian stochastic readout.
Lecture Notes for Learning the Julia language
Examples of several Markov Chain Monte Carlo methods such as t walk, emcee,Hamiltonian MC, Parallel Tempering HMC applied to UQ in ODEs