sportsinsightshub / sports_science_data
sports_science_data
☆12Updated last month
Related projects ⓘ
Alternatives and complementary repositories for sports_science_data
- SLMat: ServerLess Materials Design Toolkit, Preprint: https://doi.org/10.26434/chemrxiv-2024-fqq27☆15Updated last month
- Atomistic Calculations on Quantum Computers☆14Updated 7 months ago
- Tutorial exercises for the OPTIMADE API☆15Updated last year
- Tutorial to learn basic features of atomate2☆12Updated last month
- ☆13Updated 3 weeks ago
- A Google-Colab Notebook Collection for Materials Design: https://jarvis.nist.gov/☆65Updated 2 months ago
- Arjuna Public Documentation for Users☆14Updated last year
- ☆36Updated last week
- Universal Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structures☆13Updated last month
- ☆38Updated 8 months ago
- ⚛ download and manipulate atomistic datasets☆37Updated 3 weeks ago
- Input script for Monte Carlo (GCMC) simulations☆12Updated 2 months ago
- ☆24Updated this week
- rNets: A standalone package to visualize reaction networks☆13Updated 3 weeks ago
- Benchmarking foundation Machine Learning Potentials with Lattice Thermal Conductivity from Anharmonic Phonons☆11Updated 2 weeks ago
- Official repository for the paper "Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials".☆12Updated 2 weeks ago
- This repo contains code and data of our contribution to the 2024 LLM Hackathon, materials' property prediction from textual descriptions …☆9Updated 6 months ago
- a find-and-replace tool for crystal structure models. implements (i) subgraph matching and (ii) point set alignment to search a parent cr…☆17Updated 4 months ago
- A julia package for the manipulation of crystal net representations and topology☆40Updated 2 weeks ago
- Quantum Chemistry and Computing for the Curious, published by Packt☆37Updated 6 months ago
- Strategies for the Construction of Neural-Network Based Machine-Learning Potentials (MLPs)☆28Updated 3 years ago
- ☆11Updated 2 years ago
- ☆23Updated 2 years ago
- Collection of tutorials to use the MACE machine learning force field.☆39Updated last month
- Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim☆55Updated 2 weeks ago
- high dimensional neural network potential☆19Updated last year
- A template for Python packages. Developed by the @quantum-accelerators☆12Updated last week
- The course materials for "Machine Learning in Chemistry 101"☆70Updated 4 years ago
- Fast and flexible nonadiabatic molecular dynamics in Julia!☆57Updated last week
- ☆15Updated last week