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a Python library for building atomic neural networks

Differentiable, Hardware Accelerated, Molecular Dynamics

Atomic Simulation Environemnt

Documentation and documents for Eurohack 2017 in Jülich

Microarchitectural benchmarks for optimizing compute throughput

This project includes all files and packages relevant for the integration of the datacatalog in apache airflow.

The aim of this project is to develop a C++ vector library that supports SVE vectorization.

Collection of course material for the "High Performance Computing for neuroscience: Hands-on introduction to supercomputing usage, tools and applications" workshop.

TSVC benchmark suite for SVE vectorization.

Data analysis with Python. Author: Jack Liddle.

Behavioral model for corona spread

Approching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer