Pinned Repositories
archiveror
Archiveror will help you preserve the webpages you love. 💾
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-math
A curated list of awesome mathematics resources
awesome-network-analysis
A curated list of awesome network analysis resources.
awesome-taleb
A curated list of awesome things about Nassim Nicholas Taleb
BasketballAnalyzeR
R package
CaPTk
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk/
CHIP-Network-Model
Python implementation Community Hawkes Independent Pairs model for timestamped relational event networks
mpoints
A machine learning tool that implements the class of state-dependent Hawkes processes.
tensorly-notebooks
Tensor methods in Python with TensorLy
RichardShea's Repositories
RichardShea/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
RichardShea/cikm2021cope
Codes and data for CIKM2021 submission
RichardShea/crysx_nn
A simplistic and efficient pure-python neural network library from Phys Whiz.
RichardShea/databases
Async database support for Python. 🗄
RichardShea/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
RichardShea/Dealing-With-TDA-API-Options-Data
RichardShea/Efficient-Nonparametric-Bayesian-Hawkes-Processes
RichardShea/ElliottWaveAnalyzer
Tools to find Elliot Wave count in financial data
RichardShea/GNPP-code
The implementation of GNPP model.
RichardShea/GraphEmd
RichardShea/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
RichardShea/Hawkes-1
a python package for simulation and inference of Hawkes processes.
RichardShea/hawkeslib
fast parameter estimation for simpler Hawkes processes
RichardShea/jodie
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
RichardShea/lowrankhawkes
fast low rank multivariate Hawkes processes
RichardShea/lspp
Latent Space Point Process Models for Dynamic Networks
RichardShea/MadeWithML
Learn how to responsibly deliver value with ML.
RichardShea/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
RichardShea/NCDSSM
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
RichardShea/Neural-Spectral-Marked-Point-Processes
A novel general non-stationary point process model based on neural networks.
RichardShea/pandas-datareader
Extract data from a wide range of Internet sources into a pandas DataFrame.
RichardShea/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
RichardShea/SBSGMest
EM-Based Estimation Routine for Stochastic Block Smooth Graphon Models - see 'Stochastic Block Smooth Graphon Model' [arXiv:2203.13304]
RichardShea/SGWB-Graphon
Learning Graphons via Structured Gromov-Wasserstein Barycenters
RichardShea/tda-api
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.
RichardShea/Tennis-Prediction
A Machine Learning approach to predict Tennis' matches outcome to make a profitable betting strategy 🎾 📈 💸
RichardShea/Theoretical-Algorithms-Implementation
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
RichardShea/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
RichardShea/turnout_tracker
RichardShea/twitter-stream
Stream twitter posts and analyze the sentiment