12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Companion webpage to the book "Mathematics For Machine Learning"

Portfolio and risk analytics in Python

A Bulletproof Way to Generate Structured JSON from Language Models

A better notebook for Scala (and more)

Notes about courses Dive into Deep Learning by Mu Li

小型金融知识图谱构建流程（neo4j / python / cypher / KG）

Handout for the tutorial "Creating publication-quality figures with matplotlib"

A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.

Differentiable, Hardware Accelerated, Molecular Dynamics

Ipython notebooks for math and finance tutorials

MatterSim: A deep learning atomistic model across elements, temperatures and pressures.

Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

LAMMPS tutorials for Beginners

pyiron - an integrated development environment (IDE) for computational materials science.

Install Conda and friends on Google Colab, easily

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

XenonPy is a Python Software for Materials Informatics

The course materials for "Machine Learning in Chemistry 101"

A unified platform for fine-tuning atomistic foundation models in chemistry and materials science

A vectorised implementation of the Debye Scattering Equation on CPU and GPU

☯ A letterfitting model inspired by biology.

Deep Modeling for Molecular Simulation 2023, four-day in-person workshop, July 11-14, 2023

This package provides the interface module between aenet [1] and LAMMPS [2], patch of aenet for the LAMMPS library, and Artificial Neural network (ANN) potential parameter file of BCC iron.