Pinned Repositories
AI-Paper-References
References for read papers + relevant links
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
alphafold2
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
AMBER-Umbrella_COM_restraint_tutorial
Tutorial to run AMBER umbrella COM restraint code and derive free energy of transfer profile for methanol through DMPC membrane
AmberUtils
Utilities to assist with Amber Molecular Dynamics structure preparation and MMPBSA.py energy methods
analysisMDnotebooks
Personal repository for storing notebooks used for MD Analysis.
awesome-protein-representation-learning
Awesome Protein Representation Learning
chroma-pytorch
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
ColabFold
Making Protein folding accessible to all!
ComputationalPhysics300
computational physics class taught at UNLV (Phys300)
Paulie-ai's Repositories
Paulie-ai/alphafold2
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Paulie-ai/AMBER-Umbrella_COM_restraint_tutorial
Tutorial to run AMBER umbrella COM restraint code and derive free energy of transfer profile for methanol through DMPC membrane
Paulie-ai/awesome-protein-representation-learning
Awesome Protein Representation Learning
Paulie-ai/chroma-pytorch
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
Paulie-ai/ColabFold
Making Protein folding accessible to all!
Paulie-ai/ComputationalPhysics300
computational physics class taught at UNLV (Phys300)
Paulie-ai/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Paulie-ai/diffusion
Denoising Diffusion Probabilistic Models
Paulie-ai/DRfold
Paulie-ai/En-transformer
Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention
Paulie-ai/gromacs-cluster
Paulie-ai/Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
Paulie-ai/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Paulie-ai/ml-template
A single template to solve various Machine Learning tasks on Tabular Data.
Paulie-ai/NRI-MD
Neural relational inference for molecular dynamics simulations
Paulie-ai/paper-reading
深度学习经典、新论文逐段精读
Paulie-ai/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
Paulie-ai/Paulie-ai
Config files for my GitHub profile.
Paulie-ai/pdbfixer
PDBFixer fixes problems in PDB files
Paulie-ai/PyAutoFEP
PyAutoFEP: an automated FEP workflow for GROMACS integrating enhanced sampling methods
Paulie-ai/pymbar
Python implementation of the multistate Bennett acceptance ratio (MBAR)
Paulie-ai/PyRosetta.notebooks
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Paulie-ai/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
Paulie-ai/Reservoir-REMD
This variant of GROMACS 4.6.7 is patched with Reservoir REMD.
Paulie-ai/SPDBUE
Jupyter-notebook for scraping protein structures from the Uniprot database.
Paulie-ai/teachopencadd
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Paulie-ai/torchmd-net
Neural network potentials based on graph neural networks and equivariant transformers
Paulie-ai/training-collection
Collection of bioinformatics training materials
Paulie-ai/tutorial_dcTMD
Tutorial for the usage of the dcTMD approach and Langevin simulations employing the trypsin-benzamidine complex as example.
Paulie-ai/vermouth-martinize
Describe and apply transformation on molecular structures and topologies