A collection of utilities written in Modern Fortran

Call python from fortran

Tensor Network Python (TeNPy)

Scalable Machine Learning with Dask

A library for directly calling TensorFlow / Keras ML models from Fortran.

Amons-based quantum machine learning for quantum chemistry

A scikit-learn compatible neural network library that wraps PyTorch

Lmod: An Environment Module System based on Lua, Reads TCL Modules, Supports a Software Hierarchy

Code for training PhysNet models

A library for directly calling PyTorch ML models from Fortran.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Double precision version of fftpack

Official repository of the Wannier90 code

FLAME: a library for atomistic modeling environments

AMPtorch: Atomistic Machine Learning Package (AMP) - PyTorch

Personal Wiki for Vim

Modern Fortran Numerical Differentiation Library

A pedagogical implementation of Autograd

Import and Export from Python and TeNPy to HDF5 Files

a HDF5-based python pickle replacement

A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Official main repository for LFortran

High-performance automatic differentiation of LLVM and MLIR.

Efficiently computes derivatives of NumPy code.

A scalable and versatile library to generate representations for atomic-scale learning

Python module for quantum chemistry

Python wrappers for TurboRVB

QMC high-throughput framework based on TurboRVB