Name: Jean Baptiste Fankam Fankam
Type: User
Company: University of the Witwatersrand, Johannesburg, South Africa
Bio: Postdoctoral fellow, Computational materials science and materials informatics at the University of the Witwatersrand, Johannesburg, South Africa
Twitter: JeanBap24011135
Location: Johannesburg, South Africa
Jean Baptiste Fankam Fankam's Projects
Online Workshop from 12 to 16 of June at Rhodes University 2023
This website is for the on;line Workshop initiated by NiTheCS from 24-28 July 2023
NITheCS Online Software Carpentry (Shell, Git, Plotting and Programming in Python)
Tutorials for the UChicago AI + Science Summer School 2024 (July 17, 2024)
Electronic transport properties from first-principles calculations
atomate2 is a library of computational materials science workflows
Band alignment plotting tool
This repo contains the scripts for the tutorial activity on Dask-ML for the School 'High Performance Computing for sustainable development' organized by ICTP/CHPC in SA.
The fastai deep learning library
An example lesson teaching how to bake sourdough cinnamon rolls.
Code for training GNN models for QM9 dataset spectra
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Learn Quantum Computing for Chemistry
Machine learning exercice to more understand the lesson
University of the Witwatersrand High Performance Computing Interest Group Code, Lectures, Notes & Examples
Lesson materials for an Introduction to High Performance Computing in the tradition of Software Carpentry
Scaling studies on high-performance clusters using Snakemake workflows
Demo programs for various types of I/O topics
Fermi surface generation, analysis and visualisation.
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
A collection of scripts to help with general comp chem hpc work
Specification of a common REST API for access to materials databases
Tutorial exercises for the OPTIMADE API
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.