Pinned Repositories
3DScience
MIT 20.S947 course on 3D scientific rendering
about_writing
some generic (but hopefully still useful) recommendations on writing your thesis
ADD-CMAP
Add CMAP parameters into common AMBER prmtop file
Enhanced_Sampling_Methods_Tutorials
Tutorials of few enhanced sampling methods along with bash script to run the method in a single shot..
football-project
Calculate surface tension of a "football" shape of actin using MC simulation
HP1paralogs-simulations
Scripts to run the simulations of HP1 paralogs
HPS-SS-model
HPS-SS model for IDPs
MDRefine
westpa
WESTPA: The Weighted Ensemble Simulation Toolkit with Parallelization and Analysis
TienMPhan's Repositories
TienMPhan/football-project
Calculate surface tension of a "football" shape of actin using MC simulation
TienMPhan/MDRefine
TienMPhan/3DScience
MIT 20.S947 course on 3D scientific rendering
TienMPhan/Alphafold-analysis
scripts to visualise results of alphafold2 and 3 multimer runs
TienMPhan/alphafold3
AlphaFold 3 inference pipeline.
TienMPhan/AlphaFold3-OpenSource
Open source implementation of AlphaFold3
TienMPhan/bitbirch
BitBIRCH clustering algorithm
TienMPhan/chai-lab
Chai-1, SOTA model for biomolecular structure prediction
TienMPhan/CombFold
TienMPhan/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TienMPhan/dev-environment-files
TienMPhan/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
TienMPhan/fastbook
The fastai book, published as Jupyter Notebooks
TienMPhan/gamd-openmm
Gaussian Accelerated Molecular Dynamics (GaMD) is a computational method for both unconstrained enhanced sampling and free energy calculations of biomolecules. It works by adding a harmonic boost potential to smooth the potential energy surface and reduce system energy barriers. http://miao.compbio.ku.edu/GaMD/
TienMPhan/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
TienMPhan/ISLP_labs
Up-to-date version of labs for ISLP
TienMPhan/kickstart.nvim
A launch point for your personal nvim configuration
TienMPhan/llps-datasets
TienMPhan/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
TienMPhan/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
TienMPhan/Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
TienMPhan/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
TienMPhan/MasteringPyTorchV2
TienMPhan/netsci_paper
Data and scripts to analyze netsci for paper.
TienMPhan/nnfs_book
Sample code from the Neural Networks from Scratch book.
TienMPhan/PaddleHelix
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
TienMPhan/ProteinDesignLabs
List of computational protein design research labs
TienMPhan/sudoku-solver
A visual sudoku solver which runs in the web browser. Built using OpenCV and Tensorflow to identify the sudoku grid, recognise digits, and overlay the solution.
TienMPhan/tutorials
PyTorch tutorials.
TienMPhan/zotero-addons
Install add-ons directly in Zotero | Zotero Add-on Market | Zotero插件市场