xinluzhu

xinluzhu

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xinluzhu's repositories

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alphafold

Open source code for AlphaFold.

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annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

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chroma

A generative model for programmable protein design

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DeCOIL

A computational method to optimize degenerate codons for synthesizing an informed combinatorial mutagenesis protein variant library

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DiffDock

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

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evodiff

Generation of protein sequences and evolutionary alignments via discrete diffusion models

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FoldFlow

Code release for our recent paper "SE(3)-Stochastic Flow Matching for Protein Backbone Generation" https://arxiv.org/abs/2310.02391

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foldseek

Foldseek enables fast and sensitive comparisons of large structure sets.

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frame-flow

Fast protein backbone generation with SE(3) flow matching.

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hydra

Hydra is a framework for elegantly configuring complex applications

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masif_seed

Masif seed paper repository

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MolecularNodes

Addon and nodes for working with structural biology and molecular data in Blender.

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MULTICOM3

The software system of predicting protein tertiary and quaternary structures. It is prepared for CASP15 by BMLab.

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netron

Visualizer for neural network, deep learning and machine learning models

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ProteinMPNN

Code for the ProteinMPNN paper

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Python

ๆœ€่‰ฏๅฟƒ็š„ Python ๆ•™็จ‹๏ผš

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pytorch_geometric

Graph Neural Network Library for PyTorch

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PytorchGeometricTutorial

Pytorch Geometric Tutorials

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rf_diffusion_all_atom

Public RFDiffusionAA repo

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RFdiffusion

Code for running RFdiffusion

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se3-transformer-public

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

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TARDIS-public

Public releases of TARDIS

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Treadmilling-Speed-Analysis

Automated image analysis protocol to quantify the velocities of dynamic protein filaments

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udlbook

Understanding Deep Learning - Simon J.D. Prince

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Umol

Protein-ligand structure prediction

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walk-jump

Official repository for discrete Walk-Jump Sampling (dWJS)

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x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

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