Kai Yi (ykiiiiii)

ykiiiiii

Geek Repo

Company:UNSW

Location:Sydney

Home Page:kai.yi@unsw.edu.au

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Kai Yi's starred repositories

delensalot

Curved-sky iterative CMB lensing tools

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protpardelle

Diffusion-based all-atom protein generative model.

Language:PythonLicense:MITStargazers:128Issues:0Issues:0

alphafold3-pytorch-lightning-hydra

Implementation of AlphaFold 3 with the PyTorch Lightning + Hydra

Language:PythonLicense:MITStargazers:12Issues:0Issues:0

Bayesian_L_half

MCMC and Optimization algorithm for L_half prior

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holo-bench

Benchmark for Biophysical Sequence Optimization Algorithms

Language:PythonLicense:MITStargazers:9Issues:0Issues:0
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tauLDR

Code for the paper https://arxiv.org/abs/2205.14987v2

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schedule_free

Schedule-Free Optimization in PyTorch

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protein-dpo

Aligning protein generative models with experimental fitness

Language:PythonLicense:MITStargazers:53Issues:0Issues:0

rnaflow

RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching

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conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

Language:PythonLicense:MITStargazers:919Issues:0Issues:0

alphafold3-pytorch

Implementation of Alphafold 3 in Pytorch

Language:PythonLicense:MITStargazers:707Issues:0Issues:0

geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

Language:Jupyter NotebookLicense:MITStargazers:444Issues:0Issues:0

OpenCRISPR

AI-generated gene editing systems

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LatentDE

Latent-based Directed Evolution guided by Gradient Ascent for Protein Design

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ProteinNPT

Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"

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geometric-rna-design

gRNAde: Geometric Deep Learning for 3D RNA inverse design

Language:Jupyter NotebookLicense:MITStargazers:139Issues:0Issues:0

Score-Entropy-Discrete-Diffusion

[ICML 2024 Oral] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

Language:PythonLicense:MITStargazers:235Issues:0Issues:0

evo

Biological foundation modeling from molecular to genome scale

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:885Issues:0Issues:0
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gemma_pytorch

The official PyTorch implementation of Google's Gemma models

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ColabFold

Making Protein folding accessible to all!

Language:Jupyter NotebookLicense:MITStargazers:1809Issues:0Issues:0

DeepH-pack

Deep neural networks for density functional theory Hamiltonian.

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DGraphDTA

a novel DTA predition method using graph neural network

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p2rank

P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

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Awesome-List-Protein-Binding-Site-Prediction-

List of papers on protein binding site prediction

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