Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision

Missing data amputation and exploration functions for Python

LLM101n: Let's build a Storyteller

GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings

PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

Generalized Optimal Sparse Decision Trees

Machine learning with dataframes

Notebooks about Bayesian methods for machine learning

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

Statistical Rethinking course winter 2022

Dataset for the Collection of Facial Expressions from Japanese Artwork

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Anomaly Detection and Correlation library

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

A collection of work related to COVID-19

Hummingbird compiles trained ML models into tensor computation for faster inference.

LaTeX.css is a CSS library that makes your website look like a LaTeX document

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Batik Data set, Image Retrieval, Image Classification, Pattern Recognition

Best Practices on Recommendation Systems

PyMC educational resources

Data and methodology for the Big Mac index

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Minimalist project template for reproducible machine learning a la https://drivendata.github.io/cookiecutter-data-science/ and https://blog.mariokrapp.com/Cookiecutter_for_a_more_transparent_and_re…