Xin Wu's repositories
amazon-emr-with-delta-lake
Amazon EMR Notebook to show how to read from and write to Delta tables with Amazon EMR
automation-api-examples
Examples for the Pulumi Automation API https://pkg.go.dev/github.com/pulumi/pulumi/sdk/v3/go/auto?tab=doc
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
aws-genomics-workflows
Genomics Workflows on AWS
Bison-Fly
Bison-Fly is the NDSU Spring Wheat UAV Pipeline developed in partnership with Drone2Phenome UAV community (D2P). In this pipeline we are presenting step by step how we have been applying UAV data on our breeding program. This is a open source R code from where anyone can use and adept for different crops. All suggestions are welcome. Help us to bui
cdk-emrserverless-with-delta-lake
This construct builds some elements for you to quickly launch an EMR Serverless application. After submitting the Emr Serverless job, you could also launch an EMR notebook via cluster template to check the outcome from the EMR Serverless application.
city_pipeline
a Data warehouse tech stack with postgres , DBT, Airflow
cpg-cost-control
A Cloud Function to handle GCP billing budget notifications.
cpg-infrastructure
This repository is used to manage the infrastructure at the CPG
DeepGP
A tool to implement Genomic Prediction Experiments using Deep Learning
devops-for-databricks
devops-for-databricks
emr-serverless-samples
Example code for running Spark and Hive jobs on EMR Serverless.
fatty_acid_nirs_model
Using near-infrared spectroscopy (NIRS) and machine learning to determine oleic acid content from peanut raw grains
galaxy
Data intensive science for everyone.
genomics-pipelines
secondary analysis pipelines parallelized with apache spark
GenomicsDB
Highly performant data storage in C++ for importing, querying and transforming variant data with C/C++/Java/Spark bindings. Used in gatk4.
glow
An open-source toolkit for large-scale genomic analysis
HaploNet
Haplotype and population structure inference using neural networks.
multitrait-nirs-model
Modeling of nutritional traits from multiple crops using NIRS and machine learning/statistics
NeuralPLexer
NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
nirs-protein-prediction
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals
Soybean_Trait_Prediction
Jupyter Notebooks for Code Used In Machine learning prediction models outperform deep learning models, provide interpretation and facilitate successful feature selection for soybean trait prediction
torchdrug
A powerful and flexible machine learning platform for drug discovery