ylzhang29
Associate Professor of Psychiatry and Behavioral Sciences at SUNY Upstate Medical University. Genomics, Bioinformatics, Machine Learning, Protein Interactions
Pinned Repositories
COVID-19-Forecasts
Model information for https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
covid19-forecast-hub
Projections of COVID-19, in standardized format
ADHD_MLP
auto_ml
Automated machine learning for analytics & production
autodeepnet
Automated deep learning!
autoencoder
Basic autoencoder implementation with Keras.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
covid-19-open-data
Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.
Cross-stitch-Networks-for-Multi-task-Learning
A Tensorflow implementation of the paper arXiv:1604.03539
UpstateSU-GRU-Covid
Covid-19 Forecast from SUNY Upstate Medical University and Syracuse University Team
ylzhang29's Repositories
ylzhang29/UpstateSU-GRU-Covid
Covid-19 Forecast from SUNY Upstate Medical University and Syracuse University Team
ylzhang29/ADHD_MLP
ylzhang29/covid-19-open-data
Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.
ylzhang29/CLR
ylzhang29/coral-ordinal
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
ylzhang29/covid-19-data
An ongoing repository of data on coronavirus cases and deaths in the U.S.
ylzhang29/COVID-19-Forecasts
Model information for https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
ylzhang29/covid-model
ylzhang29/covid19-forecast-hub
Projections of COVID-19, in standardized format
ylzhang29/COVID19_mobility
Scraper of Google COVID-19 Community Mobility Reports
ylzhang29/covid19_projections
COVID-19 Projections Using Machine Learning
ylzhang29/DeepHit
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
ylzhang29/fairlearn
A Python package to assess and improve fairness of machine learning models.
ylzhang29/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
ylzhang29/GAN-for-tabular-data
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
ylzhang29/genslm
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
ylzhang29/Keras-GAN
Keras implementations of Generative Adversarial Networks.
ylzhang29/llama3
The official Meta Llama 3 GitHub site
ylzhang29/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
ylzhang29/MIDASpy
Python package for missing-data imputation with deep learning
ylzhang29/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
ylzhang29/ML-DL_Framework
ML and DL Framework
ylzhang29/multi-task-learning-example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
ylzhang29/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
ylzhang29/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
ylzhang29/scanpy
Single-Cell Analysis in Python. Scales to >1M cells.
ylzhang29/scGAE
single-cell graph autoencoder
ylzhang29/scikit-survival
Survival analysis built on top of scikit-learn
ylzhang29/TGAN
Generative adversarial training for generating synthetic tabular data.
ylzhang29/waterfall
An easy to use waterfall chart function for Python