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Turns Data and AI algorithms into production-ready web applications in no time.
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
A tool for creating Quantitative Structure Property/Activity Relationship (QSPR/QSAR) models.
An unsupervised feature selection technique using supervised algorithms such as XGBoost
Converts clipboard content to smiles and much more
Standardization workflow for QSAR-ready chemical structures pre-treatment. See "release" tab for the latest version and sample files!
Free and open-source application (command line and GUI) providing QSAR models predictions as well as applicability domain and accuracy assessment for physicochemical properties, environmental fate …
Graph neural network for predicting NMR chemical shifts
QSARtuna: QSAR model building with the optuna framework
active learning for accelerated high-throughput virtual screening
DrugAssist: A Large Language Model for Molecule Optimization
The official codebase of the paper "Chemical language modeling with structured state space sequence models"
A tool for evaluating the predictive performance on activity cliff compounds of machine learning models
Python implementations of the Boruta all-relevant feature selection method.
Autogen + GPTs - build a swarm AI researchers
Tool for the canonicalization of Polymer SMILES (P🙂) strings
Repository for the 2023 ELLIS Machine Learning for Molecules Discovery workshop
Chemprop benchmarking scripts and data for v1
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Fast estimation of ion-pairing for screening electrolytes
The simplest way to run LLaMA on your local machine
Examples of using deep learning in Bioinformatics