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David Xu (zuhengxu)

zuhengxu

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Company:Statistics, UBC

Location:Vancouver, Canada

Home Page:https://zuhengxu.github.io/

Twitter:@ZuhDav

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TuringLang

David Xu's starred repositories

AcceleratedKernels.jl

Cross-architecture parallel algorithms for Julia's GPU backends, from a unified KernelAbstractions.jl codebase. Targets Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.

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vistan

A simple library to run variational inference on Stan models.

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Mixing-of-NUTS

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awesome-neural-geometry

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

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edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

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sais-gpu

Sequential Annealed Importance Sampling

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stochastic-interpolants

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madmix

Learn discrete distributions with Measure-preserving And Discrete MixFlows - MAD Mix!

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KKLE

Estimating KL Divergence

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Reliable-KL-estimation

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smile-mi-estimator

PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

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DispatchDoctor.jl

The dispatch doctor prescribes type stability

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causally

Code for the causal benchmark library

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ktest

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Reliable-KL-estimation

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remote-nvim.nvim

Remote development in Neovim 🔥

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remote.nvim

Edit remote files locally.

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conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

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ssm-book

Interactive textbook on state-space models

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trouble.nvim

🚦 A pretty diagnostics, references, telescope results, quickfix and location list to help you solve all the trouble your code is causing.

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.dotfiles

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DenoisingDiffusion.jl

A pure Julia implementation of denoising diffusion probabilistic models

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ppl-intro

probabilistic programming for PL folks

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nvim

Neovim configuration

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FunctionChains.jl

Function chains in Julia

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equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

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LeetCode-Solutions

🏋️ Python / Modern C++ Solutions of All 3313 LeetCode Problems (Weekly Update)

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awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

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optimizationbook

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Tests-for-Distributional-Symmetry

Non-parametric hypothesis tests for identifying distributional group symmetries from data

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