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Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
Graph neural networks for molecular machine learning. Implemented and compatible with TensorFlow and Keras.
Keras-based implementation of Relational Graph Convolutional Networks
Implementation of Graph Convolutional Networks in TensorFlow
Implementation of Graph Auto-Encoders in TensorFlow
🛰 Ce tutoriel aide les utilisateurs à mieux comprendre, extraire et visualiser les données du satellite CASSIOPE du site web de l'Université de Calgary. | 🛰 This tutorial helps users to better unde…
Tutorial on the usage of Rdkit, Pandas, sklearn, machine learning, descriptor calculation, etc.. in the context of bioactivity predictive modeling
Información básica del uso del lenguaje python en el área de ciencia e ingeniería
The Impact of Dataset Size on Bayesian Optimization, Insights from the QM9 Dataset
Caracterización de termopar con MAX6675 en Arduino
Ligand-based Virtual Screening using Deep Learning
NRGlab / Get_Cleft
Forked from lmorency/Get_CleftThe Get_Cleft program detects cavities in PDB-formated macromolecular structure models. It is based on the Surfnet algorithm of Laskowski et al.