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Name: X.S.
Type: User
Name: X.S.
Type: User
tensorflow implementation of Adversarially Regularized Autoencoders (ARAE)
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
A topic-centric list of HQ open datasets. PR ☛☛☛
Causal Discovering, ModelIng and Reasoning
Causal Effect Inference with Deep Latent-Variable Models
Counterfactual Regression
CLoMAT: Conditional Logistic Model Association Tests. CLoMAT provides a general solution to control for population stratification by matching cases and controls based on their ancestry background.
Dataset for training
DEPICT code, instructions and an example
Pytorch implementation of Domain Separation Networks
The Ensembl Core Perl API and SQL schema
Genome-wide Efficient Mixed Model Association
High-definition likelihood inference of genetic correlations (HDL)
Estimate local SNP heritability and genetic covariance from GWAS summary association statistics.
R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data
Models and examples built with TensorFlow
(Model One-Step Survival): one-step TMLE for survival curve
Non-parametrics for Causal Inference
Proportional Odds Logistic Mixed Model (POLMM) for ordinal categorical data analysis
Population genetics notes
Linking GWAS studies to genes through cis-regulatory datasets
A test for R package
GWAS for survival analysis in large cohorts
SaddlePoint Approximation implementation of GxE analysis
Score Test Based on Saddlepoint Approximation
Simple and ready-to-use tutorials for TensorFlow
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Overview of the data QC, code, and GWAS summary output from the 2017 UK Biobank data release
Sample code for ldsc analyses in UKBB
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.