rkurchin / Kurchin_CVLinks
LaTeX/Python code for maintaining my CV; integrates with website code (see rkurchin.github.io repo)
☆15Updated 3 years ago
Alternatives and similar repositories for Kurchin_CV
Users that are interested in Kurchin_CV are comparing it to the libraries listed below
Sorting:
- A demo code for implementation of differentiable thermodynamic modeling in JAX.☆10Updated 4 years ago
- Sparse Linear Regression Models☆19Updated this week
- Shaded 😎 quantile plots☆12Updated 3 years ago
- Steerable E(3) GNN in jax☆24Updated 2 years ago
- Workflow for CONNectivity preserving Geometry Optimization☆11Updated 4 years ago
- Machine Learned Interatomic Potential Tools☆24Updated last week
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆16Updated 4 years ago
- Distributed representations of atoms, inspired by the Skip-gram model☆26Updated 2 years ago
- Bayesian optimization for chemistry☆18Updated last year
- PyTorch Autodiff DFT-D4 Implementation.☆21Updated this week
- CHE 599 at Oregon State University☆21Updated 4 years ago
- Material of the seminar "Julia for Materials Modelling"☆30Updated 2 years ago
- A flexible and performant framework for training machine learning potentials.☆30Updated last week
- A dissipative particle dynamics (DPD) project.☆11Updated 2 years ago
- ☆16Updated 3 years ago
- Julia Bindings for Atomic Simulation Environment☆38Updated 4 years ago
- Uncertainty Quantification for Materials Property Prediction: a Benchmark Study☆17Updated last year
- ☆53Updated 2 years ago
- Notebooks accompanying the paper on GPR in materials and molecules in Chemical Reviews 2020☆12Updated 4 years ago
- A julia package for the manipulation of crystal net representations and topology☆47Updated last month
- Auto-differentiated descriptors using Enzyme☆12Updated 6 months ago
- A program to automatically generate volcano plots for catalysis.☆15Updated 10 months ago
- A collection of simulation recipes for the atomic-scale modeling of materials and molecules☆30Updated this week
- Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.☆41Updated 6 months ago
- A quick tutorial for modern materials science, should the reader be not familiar with it and just wishing to crack the data☆16Updated last month
- Python code for Hückel and Pariser-Parr-Pople molecular orbital theory☆15Updated 2 years ago
- A Python package for adding uncertainties to neural network models of chemical systems.☆26Updated 3 years ago
- Atomic graph models for molecules and crystals in Julia☆61Updated 2 years ago
- scalable multi-fidelity machine learning☆10Updated 4 years ago
- An implementation of SchNet in JAX and JAX-MD.☆17Updated 3 years ago