Xi Wang's repositories

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torch_SB_VAE

Implementation of stick breaking VAE with pytorch

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JointCV

Official code for https://arxiv.org/abs/2210.07290

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ResNet-VAE

VAE with ResNet encoder and decoder

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ShiftMatchImageNet

ShfitMatch experiments on ImageNet

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

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plotting_snippet

Some common code snippets I used for making plot

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advml2020

Advanced Topics in Statistical Machine Learning, Oxford Statistics, Hilary Term 2020

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Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

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blackjax

BlackJAX is a sampling library designed for ease of use, speed and modularity.

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bnn_priors

Code for the paper "Bayesian Neural Network Priors Revisited"

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coq_last_hw

Last homework for functional programming

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d2l-en

An interactive deep learning book with code, math, and discussions.

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final-assignment-open-source

华师大开源设计与开发课程期末作业

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generax

Generative models with JAX.

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hlb-gpt

Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in <100 seconds. Scales to larger models with one parameter change (feature currently in alpha).

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

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pangolin

probabilistic programming focused on fun

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posteriordb

Database with posteriors of interest for Bayesian inference

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pyro

Deep universal probabilistic programming with Python and PyTorch

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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viabel

Efficient, lightweight, variational inference approximation bounds

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