hmetni

hmetni's Stars

• mintisan/awesome-kan

  A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

  2.2k4812205

• HIPS/Spearmint

  Spearmint Bayesian optimization codebase

  Language:Python1.5k7995327

• dair-ai/Transformers-Recipe

  🧠 A study guide to learn about Transformers

  1.5k311143

• devinpleuler/analytics-handbook

  Getting started with soccer analytics

  Language:Jupyter Notebook1.5k1034203

• atomistic-machine-learning/schnetpack

  SchNetPack - Deep Neural Networks for Atomistic Systems

  Language:Python77032244213

• andrewRowlinson/mplsoccer

  Football pitch plotting library for matplotlib

  Language:Python394154680

• metrica-sports/sample-data

  Metrica Sports sample tracking and event data

  36434092

• MolecularAI/GraphINVENT

  Graph neural networks for molecular design.

  Language:Python36115074

• qpv-research-group/solcore5

  A multi-scale, python-based library for the modelling of solar cells and semiconductor materials

  Language:Python1322211273

• kurtispykes/Machine-Learning

  All content related to machine learning from my blog

  Language:Jupyter Notebook1177028

• aspuru-guzik-group/olympus

  Olympus: a benchmarking framework for noisy optimization and experiment planning

  Language:Jupyter Notebook82122822

• MLMI2-CSSI/foundry

  Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry

  Language:Python79720816

• njszym/XRD-AutoAnalyzer

  Language:Python724615

• olsson-group/RL-GraphINVENT

  RL-GraphINVENT is a platform for graph-based targeted molecular generation using graph neural networks and reinforcement learning. RL-GraphINVENT uses a Gated Graph Neural Network -based model fine-tuned using reinforcement learning to probabilistically generate new molecules with desired property profiles.

  Language:Python665521

• kurtispykes/Natural-Language-Processing

  Curated articles and code on NLP

  60408

• czodrowskilab/5minfame

  Language:Jupyter Notebook356017

• tgolubev/Drift-Diffusion_Python

  1D model written in Python which solves the semiconductor Poisson-Drift-Diffusion equations using finite-differences.

  Language:Python28306

• aspuru-guzik-group/atlas

  A brain for self-driving laboratories

  Language:Python25318

• PerovskitePV/EYcalc

  This software calculates the Energy Yield of single and multi-junction solar cells. It consists of individual modules taking care of deriving realistic irradiance data, fast optical and electrical simulations, and derivation of the hourly resolved energy yield.

  Language:MATLAB15204

• imadarchid/openbk

  💸 A python library to easily extract information and metrics from Moroccan bank statements.

  Language:Python11202

• rytheranderson/xrd-matching

  A genetic algorithm for powder refinement focused on matching peak positions and unit cell parameters.

  Language:Python7101

• Austin6035/SLI-GNN

  Language:Python5103

• Gashmard/Soraya

  Soraya is a package that generates 322 features for any material.

  Language:Python410

• aimat-lab/perovskite_htm_screening

  Code for paper "Accelerating the discovery of materials for integrated/complex device"

  Language:Python3101

• Gashmard/jabir

  jabir is a package that generates 322 features for any material.

  3

• GLinustb/BSGNN

  Language:Python3204

• HongshuaiWang1/OPVGCN

  Language:Jupyter Notebook3112

• sunyue-xfel/Machine-Learning-applied-for-spectra-classification

  LSTM, Transformer, Spectral clustering based models for spectral data classification

  Language:Jupyter Notebook3201

• Gashmard/DataG_13022_superconducting_materials

  These 13,022 superconducting materials are adapted from the SuperCon dataset after performing various data preprocessing steps.

  210

• arminmth/Dynamic-Modulus-Master-Curve-for-Hot-Mix-Asphalt-HMA-

  Dynamic Modulus Master Curve for Hot Mix Asphalt (HMA)

  Language:Jupyter Notebook110