John Still (johnstill)

johnstill

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Company:VUMC @ComputationalMedicineLab

Location:Nashville

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ComputationalMedicineLab

John Still's starred repositories

scaife-viewer

new reading environment for version 5.0 of the Perseus Digital Library

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optuna

A hyperparameter optimization framework

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version2

Vector class library, latest version

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performance_tuning_tutorial

Performance Tuning Tutorial given at Oak Ridge National Laboratory

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mmica

Stochastic algorithms for ICA

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OmpCommonCore

Software to support people learning OpenMP with our book ... The OpenMP Common Core: Making OpenMP Simple Again

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zork

The DUNGEON (Zork I) source

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blis

BLAS-like Library Instantiation Software Framework

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mkl-verbose-toolkit

Tools to run and parse MKL verbose mode

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gperftools

Main gperftools repository

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x86-simd-sort

C++ template library for high performance SIMD based sorting algorithms

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causal-learn

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

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mkl_random

Python interface to Intel(R) Math Kernel Library's random number generation functionality

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treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

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ufunclab

NumPy ufuncs and utilities.

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oneAPI-samples

Samples for Intel® oneAPI Toolkits

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c-solutions

My Solutions to K. N. King's "C Programming: A Modern Approach", second edition

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ConfigSpace

Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

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shap

A game theoretic approach to explain the output of any machine learning model.

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Variational_Sparse_Coding

This repository contains codes and examples implementing the variational sparse coding model

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interpret

Fit interpretable models. Explain blackbox machine learning.

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GP-VAE

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

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s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

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pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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disentanglement-pytorch

Disentanglement library for PyTorch

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beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

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mlflow

Open source platform for the machine learning lifecycle

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Python

Example Python Scripts

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