Sijia Li (lilythepooh)

lilythepooh

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rouleur

Cycling performance modelling with Python

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Tutorial_Agent_Based_Models

A Tutorial for Agent Based Models in Python

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codility-training

Solutions for Codility training assignments in Python

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code-challenges

algorithm code challenges solutions (codility / hackerrank / eular / topcoder)

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Codility

My Solutions to Codility (100% performance)

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codility

Python solutions to exercises and tests at http://codility.com/

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nlp_essentials

Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies

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CV_Resume_latex_template

CV/Resume_latex_template

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OmicsPLS_ShortCourse

Statistical course on multi-omics data integration

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rhat_ess

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

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slingshot

Functions for identifying and characterizing continuous developmental trajectories in single-cell data.

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vcd_divergence

Code to minimize the Variational Contrastive Divergence (VCD)

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mbvi

Moment Based Variational Inference for Markov Jump Processes

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VB-MixEF

Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"

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svae

code for Structured Variational Autoencoders

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BranchedGP

Branching Gaussian process

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iBayesLRule

Code for ICML 2020 paper on “Handling the Positive-Definite Constraint in the Bayesian Learning Rule”

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PLNmodels

A collection of Poisson lognormal models for multivariate count data analysis

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singleCellSeq

Batch effects and the effective design of single-cell gene expression studies

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LaplacesDemon

A complete environment for Bayesian inference within R

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infer

Infer.NET is a framework for running Bayesian inference in graphical models

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GRNVBEM

AR1MA1 - VBEM reverse engineering GRNs method

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CSHMM-for-time-series-scRNA-Seq

This is the code release for paper Continuous State HMMs for Modeling Time Series Single Cell RNA-Seq Data

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luisacutillo78.github.io

Women In Networks website

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