Matej's repositories
effective-polars
effective polars book coding along
Awesome-TimeSeries-SpatioTemporal-Diffusion-Model
A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
Deep-KAN
This repository contains a better implementation of Kolmogorov-Arnold networks
Empowering-Time-Series-Analysis-with-LLM
Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"
ewmm_code
Code for the EWMM paper
functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
Kalman-and-Bayesian-Filters-in-Python
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 filters, and more. All exercises include solutions.
linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
non-parametric-ml
ML non parametric methods
OpenDevin
🐚 OpenDevin: Code Less, Make More
polars_ols
Polars least squares extension - enables fast linear model polar expressions
ProbablyOverthinkingIt
Supplementary material for my book, Probably Overthinking It.
professional-programming
A collection of learning resources for curious software engineers
pv_bundt_cake
Code reproducing results of the paper "Time Dilated Bundt Cake Analysis of PV Output"
pydata-global-2023-functime
@Pola-rs and @functime-org talk at @PyData
signal-decomposition
A simple and general framework for signal decomposition
spcqe
Smooth periodic consistent quantile estimation
uncertain_ground_truth
This repository contains Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).