RuiZhang2016

Efficient-Nonparametric-Bayesian-Hawkes-Processes

comp8600

Variational-Inference-for-SGP-Modulated-Hawkes-Process

This repo contains a demo for the AAAI-20 publication "Variational Inference for Sparse Gaussian Process Modulated Hawkes Process"

MMRIV

Python implementation of Kernel Maximum Moment Restriction for Instrumental Variable Regression

HumanFaceDetectionAndRecognition

AdaMod

Adaptive and Momental Bounds for Adaptive Learning Rate Methods.

Animated_Heart

Animated Heart

autograd

Efficiently computes derivatives of numpy code.

backtrader

Python Backtesting library for trading strategies

cascade-influence

cmLab

website source for the computational media lab

download-friendlists

EP-for-BPP-without-Discretization

Expectation Propagation for Bayesian Point Processes without Discretization

gitignore

A collection of useful .gitignore templates

GraphBasedRNN

Graph-Based Recursive Neural Network for Vertex Classification

Instrument-Space-Selection-for-Kernel-Maximum-Moment-Restriction

Instrument Space Selection for Kernel Maximum Moment Restriction

intro_complexity

LessonPythonCode

LessonPythonCode

MCMC

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Morvan_RL

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

process_weps2007

Quantile-Propagation-for-Wasserstein-Approximate-Gaussian-Processes

RuiZhang2016.github.io

stochastic

Generate realizations of stochastic processes in python.

treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

treelstm.pytorch

Tree LSTM implementation in PyTorch

TVB

copy of TVB

Visitor-Read-Me

yihui-he.github.io

my personal website