Pinned Repositories
bookmarks_clustering
Using text recognition and unsupervised learning to cluster web bookmarks
cookie
Cookiecutter template
decomposition
Simple ISOMAP and PCA decomposition algorithms
dpipes
Pythonic data pipelines
emonet
CNN-LSTM model for audio emotion detection in children with adverse childhood events.
met
Reproducing the MET framework with PyTorch
RandomVariates.jl
A collection of random variate generators.
steps
A SciKit-Learn style feature selector using best subsets and stepwise regression.
stringcluster
A Scikit-Learn style deduper.
vime
Reproducing the VIME framework for self- and semi-supervised learning to tabular domain.
chris-santiago's Repositories
chris-santiago/decomposition
Simple ISOMAP and PCA decomposition algorithms
chris-santiago/emonet
CNN-LSTM model for audio emotion detection in children with adverse childhood events.
chris-santiago/gmm
Gaussian Mixture Model with low rank approximation
chris-santiago/kmeans
A simple implementation of K-Means & K-Medoids Clustering
chris-santiago/poisson_ar
Generalized Poisson Regressor with AutoRegressive Residuals
chris-santiago/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
chris-santiago/stringcluster
A Scikit-Learn style deduper.
chris-santiago/aafm
Enhanced Chilean Mutual Fund Data Explorer
chris-santiago/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
chris-santiago/argo-graph-lite
Interactive Graph Visualization in Your Browser
chris-santiago/D3.js-examples
Simple D3.js code examples
chris-santiago/dlfs
Scratch repo to go along with Deep Learning from Scratch
chris-santiago/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
chris-santiago/Julia-data-science
Data science and numerical computing with Julia
chris-santiago/JuliaTutorials
Learn Julia via interactive tutorials!
chris-santiago/linkedin_scraper
A library that scrapes Linkedin for user data
chris-santiago/liveProject-deepRecommender
chris-santiago/liveProjectJulia
Hands-on Data Science with Julia
chris-santiago/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
chris-santiago/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
chris-santiago/nlpwt
NLP with Transformers
chris-santiago/podcast-recommendation
chris-santiago/prefect-play
chris-santiago/projects
chris-santiago/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
chris-santiago/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
chris-santiago/python-patterns
A collection of design patterns/idioms in Python
chris-santiago/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
chris-santiago/top-holdings
Scraping SEC Filings for Top Holdings
chris-santiago/torch-play