daiki-ko

daiki-ko

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Company:Niigata Univ

Location:Niigata, Japan

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daiki-ko's starred repositories

Graph-Mamba

Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces

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diffusion_models

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

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foldingdiff

Diffusion models of protein structure; trigonometry and attention are all you need!

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Smooth-Diffusion

Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models arXiv 2023 / CVPR 2024

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naist-thesis-tmpl

NAIST情報科学研究科向けのやや現代的な修士論文用LaTeXテンプレート

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GPSE

Graph Positional and Structural Encoder

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cheminfotutorial1023

material for cheminfo tutorial

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MolCLR

Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.

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FlowSite

Implementation of FlowSite and HarmonicFlow from the paper "Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design"

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pytorch_flows

Implementation and tutorials of normalizing flows with the novel distributions module

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DiffDock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

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torsional-diffusion

Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

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3DInfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

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GraphMVP

Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)

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LSGM

The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

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pytorch_MCMC

Lightweight MCMC sampling for PyTorch Models aka My Corona Project

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ChEMBL_Structure_Pipeline

ChEMBL database structure pipelines

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FreeSolv

Experimental and calculated small molecule hydration free energies

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Graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

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e3nn

A modular framework for neural networks with Euclidean symmetry

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benchmarking-gnns

Repository for benchmarking graph neural networks

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GeoDiff

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

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GeoLDM

Geometric Latent Diffusion Models for 3D Molecule Generation

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DiffFlow

[Neurips 2021]Diffusion Normalizing Flow (DiffFlow)

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CARD

Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"

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ddpm-torch

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

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