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Xingchen Ma's Projects

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AISTATS2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

anaconda-mode icon anaconda-mode

Code navigation, documentation lookup and completion for Python.

george icon george

Fast and flexible Gaussian Process regression in Python

gluonts icon gluonts

Probabilistic time series modeling in Python

hmatrix icon hmatrix

Linear algebra and numerical computation

magit-todos icon magit-todos

Show source files' TODOs (and FIXMEs, etc) in Magit status buffer

metacal icon metacal

ICML2021 Meta-Cal: Well-controlled Post-hoc Calibration by Ranking.

neon icon neon

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

pyim icon pyim

一个 emacs 中文输入法，支持全拼，双拼，五笔，仓颉和Rime，pyim 是 GNU elpa 包。

sdcv icon sdcv

Emacs interface for sdcv

smac3 icon smac3

Sequential Model-based Algorithm Configuration

stan icon stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

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