Lists (9)
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AI
chatGPT
chemical AI
Cheminformatics
Cheminformatics related to machine learning and artificial intelligencedrug discovery
Molecular Dynamics Simulation
NLP
Quant, System trading
Stars
A modular framework for neural networks with Euclidean symmetry
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Unified 2D and 3D Pre-Training of Molecular Representations
The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".
Message Passing Neural Networks for Molecule Property Prediction
Machine learning method for predicting physicochemical properties of light oil fraction
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
RadonPy is a Python library to automate physical property calculations for polymer informatics.
Implementation of ICML2023 paper : Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
Getting Started with Google BERT, published by Packt
Implementation of the method proposed in the paper "Efficient Multi-Objective Molecular Optimization in a Continuous Latent Space" by Robin Winter, Floriane Montanari, Andreas Steffen, Hans Briem, …
List of Molecular and Material design using Generative AI and Deep Learning
polyGNN is a Python library to automate ML model training for polymer informatics.
Generative Tensorial Reinforcement Learning (GENTRL) model
This repo includes ChatGPT prompt curation to use ChatGPT better.
Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Code for finding the ground state conformer
Robust Molecular Structure Recognition with Image-to-Graph Generation
<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
Hierarchical Generation of Molecular Graphs using Structural Motifs
Code for Data-Driven Multi-Objective Molecular Design of Ionic Liquid with High Generation Efficiency on Small Dataset