misxenia

Pinned Repositories

deep-exponential-families
Deep exponential families (DEFs)
Language:C++0 2 00
DeepSTPP
Language:Jupyter Notebook0 0 00
EPM
Infinite Edge Partition Models
Language:MATLAB0 2 00
Font-Awesome
The iconic font and CSS toolkit
Language:HTML00
julia
The Julia Language: A fresh approach to technical computing.
Language:Julia00
misxenia.github.io
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Module1
Associated with OxWaSP Module 1
Language:R0 2 00
NeuralNetworkPointProcess
code for "Fully Neural Network based Model for General Temporal Point Processes"
Language:Jupyter Notebook0 0 00
nh
A PyTorch Implementation of Neural Hawkes Process. Redefined.
Language:Python0 0 00
SNetOC
Language:MATLAB7 5 06

misxenia's Repositories

misxenia/SNetOC
Language:MATLAB7 5 06
misxenia/deep-exponential-families
Deep exponential families (DEFs)
Language:C++0 2 00
misxenia/DeepSTPP
Language:Jupyter Notebook0 0 00
misxenia/EPM
Infinite Edge Partition Models
Language:MATLAB0 2 00
misxenia/Font-Awesome
The iconic font and CSS toolkit
Language:HTML00
misxenia/julia
The Julia Language: A fresh approach to technical computing.
Language:Julia00
misxenia/misxenia.github.io
Language:HTML00
misxenia/Module1
Associated with OxWaSP Module 1
Language:R0 2 00
misxenia/NeuralNetworkPointProcess
code for "Fully Neural Network based Model for General Temporal Point Processes"
Language:Jupyter Notebook0 0 00
misxenia/nh
A PyTorch Implementation of Neural Hawkes Process. Redefined.
Language:Python0 0 00
misxenia/SDyNet
Language:Python0 0
misxenia/Spatiotemporal_Cox_Hawkes
Language:Python1 01
misxenia/tick
Module for statistical learning, with a particular emphasis on time-dependent modelling
Language:Python1 0
misxenia/website
Language:CSS2 0