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Jiangli Huang's Projects

bnn icon bnn

Bayesian neural network implementations

d-vae icon d-vae

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019

daily_fudan1 icon daily_fudan1

一键平安复旦小脚本,自动化快速上报疫情

deepspeed-_232.4.13 icon deepspeed-_232.4.13

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dnn-mfbo icon dnn-mfbo

Multi-fidelity Bayesian Optimization via Deep Neural Nets

entropy-search icon entropy-search

Entropy Search for Information-Efficient Global Optimization - JMLR v13

esl-cn icon esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

gpytorch icon gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hebo icon hebo

Bayesian optimisation library developped by Huawei Noah's Ark Library

moo icon moo

multi-objective optimization via differential evolution and non-dominated sorting

mvmo icon mvmo

C++ implementation of the Mean Variance Mapping Optimization algorithm

pymace icon pymace

Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library

pymoo icon pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

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