Pinned Repositories
awesome-cpp
A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
condma
Hierarchical Bayesian models applied to meta-analysis
iclust2prog
iclust2prog
mrgsolve
Simulate from ODE-based population PK/PD and QSP models in R
PlayPy
Because learning playing is always more rewarding
projpred
Projection predictive variable selection
rms
rms
scikit-survival
Survival analysis built on top of scikit-learn
simtte
Simulate bespoke time-to-event models
Torsten
library of C++ functions that support applications of Stan in Pharmacometrics
csetraynor's Repositories
csetraynor/causal_salad_2021
One day course on causal inference, MPI-EVA 9 September 2021
csetraynor/clairvoyance
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
csetraynor/ctsem
Hierarchical continuous time state space modelling
csetraynor/deep-learning-building-blocks
csetraynor/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
csetraynor/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
csetraynor/drc
Fitting dose-response models in R
csetraynor/free_r_tips
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.
csetraynor/gfoRmula
Parametric G-formula for R
csetraynor/ggPMX
ggPMX R package
csetraynor/GPWeibull
Gaussian Process for varying treatment effects with the Weibull distribution
csetraynor/JMbayes2
Extended Joint Models for Longitudinal and Survival Data
csetraynor/mcstate
:sparkles::broom: Monte-Carlo State Space Models
csetraynor/mice
Multivariate Imputation by Chained Equations
csetraynor/miml-synthetic
Code for "Imputing biomarker status from RWE data sets-a comparative study"
csetraynor/NMproject
Turning R and RStudio into a NONMEM model development environment
csetraynor/ompi
Open MPI main development repository
csetraynor/otsbounds
OTS Bounds for causal survival analyses
csetraynor/PopED
Population Experimental Design (PopED) in R
csetraynor/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
csetraynor/pywick
High-level batteries-included neural network training library for Pytorch
csetraynor/rcgan-pytorch
This is a PyTorch implementation of Recurrent (Conditional) GAN (Esteban et al., 2017)
csetraynor/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
csetraynor/tabnet-1
An R implementation of TabNet
csetraynor/tabnet-modified
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
csetraynor/targets
Function-oriented Make-like declarative workflows for R
csetraynor/TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
csetraynor/timegan-pytorch
This repository holds the code for the reimplementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch
csetraynor/tips
Most commonly used git tips and tricks.
csetraynor/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow