Po-Yu Kao's Projects
This repository contains the source code of UCSBVRL who participating in the ABCD MICCAI 2019 Challenge.
Open source code for AlphaFold.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
We provide a method to extract the tractographic features from structural MR images for patients with brain tumor
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.
Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
Implementation of the Paper "Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations" by Robin Winter, Floriane Montanari, Frank Noe and Djork-Arne Clevert.
A complete computer science study plan to become a software engineer.
Making Protein folding accessible to all via Google Colab!
This repository applies the affine and deformation transformation on the CT scan in the subject space, and register it to the MNI 1mm space
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Benchmarks for generative chemistry
ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.
This repository extracts the tractograpic feature, other first-order features and the state-of-the-art feature from the stroke lesion. A random forest regressor is used with one type of feature to predict the modified Rankin Scale of stroke patients.
This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017
Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
The graph-convolutional neural network for pka prediction
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
This repository implement the work of Kao, Po-Yu, et al. "Unsupervised 3-D feature learning for mild traumatic brain injury." International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer, Cham, 2016
Olympus: a benchmarking framework for noisy optimization and experiment planning
Official data repository for the Open Reaction Database
All Algorithms implemented in Python
This is the source codes of pytorch verison 0.4.0
PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.
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