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Name: Richard
Type: User
Name: Richard
Type: User
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
fast low rank multivariate Hawkes processes
Latent Space Point Process Models for Dynamic Networks
Learn how to responsibly deliver value with ML.
Mesa is an agent-based modeling framework in Python
Netlogo Fireflies to Mesa with Hawkes clock
Companion webpage to the book "Mathematics For Machine Learning"
A machine learning tool that implements the class of state-dependent Hawkes processes.
Introduction to data engineering workflows for undergraduates
A novel general non-stationary point process model based on neural networks.
Extract data from a wide range of Internet sources into a pandas DataFrame.
the Penn AI engine.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
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 ;)
Fully functioning fast Limit Order Book written in Python
EM-Based Estimation Routine for Stochastic Block Smooth Graphon Models - see 'Stochastic Block Smooth Graphon Model' [arXiv:2203.13304]
Learning Graphons via Structured Gromov-Wasserstein Barycenters
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.
A Machine Learning approach to predict Tennis' matches outcome to make a profitable betting strategy 🎾 📈 💸
Tensor methods in Python with TensorLy
CLRS(Introduction to Algorithms) - Python/C++/Java Implementation of all the major Algorithms in the CLRS Textbook as well as additional algorithm's covered in the University of Alberta theory Courses
Module for statistical learning, with a particular emphasis on time-dependent modelling
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.