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Starred repositories

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Jupyter Notebook 45 1 Updated Nov 28, 2024

cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural n…

Python 141 6 Updated Dec 16, 2024

train and use graph-based ML models of potential energy surfaces

Python 62 3 Updated Dec 16, 2024

Use your Neovim like using Cursor AI IDE!

Lua 7,864 289 Updated Dec 13, 2024

A simple, fast and user-friendly alternative to 'find'

Rust 34,484 819 Updated Dec 9, 2024

ORB forcefield models from Orbital Materials

Python 211 23 Updated Dec 13, 2024

High accuracy RAG for answering questions from scientific documents with citations

Python 6,580 641 Updated Dec 16, 2024

SevenNet - a graph neural network interatomic potential package supporting efficient multi-GPU parallel molecular dynamics simulations.

Python 136 20 Updated Dec 16, 2024
Jupyter Notebook 26 2 Updated Dec 9, 2024

a curated list of resources for everyone interested in learning about digital chemistry

20 2 Updated Oct 21, 2024

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Jupyter Notebook 612 77 Updated Aug 1, 2022

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Python 5,599 1,700 Updated Dec 13, 2024

A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.

279 48 Updated Jun 7, 2024

Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).

Python 262 24 Updated Apr 12, 2024

Minimal and clean examples of machine learning algorithms implementations

Python 10,754 1,779 Updated Mar 30, 2023

Statistical Mechanics on Lattices

Python 65 14 Updated Nov 25, 2024

An overview of literature that discusses the use of machine learning for atomistic simulations

41 1 Updated Apr 11, 2023

A repo to finetune NNIPs by training on observables

13 1 Updated Apr 11, 2024

A workflow for reproducible and open scientific articles

TeX 575 47 Updated Dec 16, 2024

An extremely fast Python package and project manager, written in Rust.

Rust 32,467 881 Updated Dec 16, 2024

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Jupyter Notebook 35,374 4,377 Updated Nov 18, 2024

A Python nearest neighbor descent for approximate nearest neighbors

Python 905 106 Updated Nov 10, 2024

A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

Python 932 92 Updated May 28, 2024

A collection of Nerual Network Models for chemistry

99 14 Updated Dec 16, 2024

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Jupyter Notebook 40,026 4,245 Updated Jul 28, 2024

The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.

Jupyter Notebook 135 68 Updated Dec 13, 2024

A code to generate atomic structure with symmetry

Python 276 69 Updated Dec 12, 2024

Fast citation reference parsing

Ruby 1,067 91 Updated Aug 14, 2024

Zotero extension to retrieve and validate DOIs and shortDOIs

JavaScript 1,336 50 Updated Aug 10, 2024
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