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zcmail's Projects

gmssl icon gmssl

支持国密SM2/SM3/SM4/SM9/SSL的密码工具箱

gp icon gp

Gaussian process software in MATLAB.

gpcv-admm-mlsp2020 icon gpcv-admm-mlsp2020

Implementations of Gaussian Process Regression Hyper-Parameter Optimization Using Cross-Validation and Non-linearly Constrained ADMM

gpflow icon gpflow

Gaussian processes in TensorFlow

gpmat icon gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gpml_extensions icon gpml_extensions

Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.

gpy icon gpy

Gaussian processes framework in python

gpyopt icon gpyopt

Gaussian Process Optimization using GPy

gpytorch icon gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

graphnn icon graphnn

Training computational graph on top of structured data (string, graph, etc)

hawkes_process_for_kd icon hawkes_process_for_kd

A keystroke dynamic model based on multivariable Hawkes process with exponential exciting kernel

hctsa icon hctsa

Highly comparative time-series analysis

hdhp.py icon hdhp.py

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

howtotrainyourmamlpytorch icon howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

ifl-tpp icon ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes"

interpretablemlbook icon 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

kboc icon kboc

Code for submissions to the Keystroke Biometrics Ongoing Competition (KBOC)

kd-feature-extracted-by-hawkes-process icon kd-feature-extracted-by-hawkes-process

A new method of extracting the features of keystrokes. The Hawkes process based on exponential excitation kernel was used to model the sequence of keystrokes in fixed text, and the intensity function vector and adjacency matrix of the model obtained through training were regarded as the characteristics of the keystrokes.

kernel_goodness_of_fit icon kernel_goodness_of_fit

Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton

keystroke_dynamics icon keystroke_dynamics

a keystroke dynamics algorithm in python (recognizes a person by the way s/he types)

kloak icon kloak

Keystroke-level online anonymization kernel: obfuscates typing behavior at the device level.

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