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天堂的烟斗 / nips2015_vrnn

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天堂的烟斗 / hdhp.py

Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017

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天堂的烟斗 / PyTorch-LBFGS

A PyTorch implementation of L-BFGS.

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天堂的烟斗 / vgpssm

Variational Gaussian Process State Space Model

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天堂的烟斗 / desync-mhp

# Learning Hawkes Processes Under Synchronization Noise

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天堂的烟斗 / NeuralNetworkPointProcess

code for "Fully Neural Network based Model for General Temporal Point Processes"

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天堂的烟斗 / mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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天堂的烟斗 / message-passing

A simple library for variational message passing algorithms

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天堂的烟斗 / PRMLT

Matlab code for machine learning algorithms in book PRML

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天堂的烟斗 / Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

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天堂的烟斗 / interpretable-ml-book

Book about interpretable machine learning

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天堂的烟斗 / GPy

Gaussian processes framework in python

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天堂的烟斗 / reinforce

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

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天堂的烟斗 / dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

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天堂的烟斗 / toys

Toy models, experiments and random notes on machine learning and deep learning.

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天堂的烟斗 / pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

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天堂的烟斗 / GPyOpt

Gaussian Process Optimization using GPy

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天堂的烟斗 / gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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天堂的烟斗 / GPflow

Gaussian processes in TensorFlow

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天堂的烟斗 / InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版