- Fort Wayne, IN
-
23:29
(UTC -04:00) - https://vlulla.github.io
- https://orcid.org/0000-0002-0823-2522
- @vlulla
Stars
A fast SOTA univariate distributional time-series prediction algorithm
A DuckDB extension that add comprehensive statistical distribution functions to DuckDB, enabling advanced statistical analysis, probability calculations, and random sampling directly within SQL que…
Interpretable Probabilistic Forecasts via Three-Dimensional Exponential Smoothing
A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal com…
Dissecting the Duck's Innards — A DuckDB-based course on the Design and Implementation of Database System Internals
Tabular Database Systems — A DuckDB-based course on the fundamentals of relational DBMSs and SQL
Multi-Quantile Recurrent Neural Network for Quantile Regression
A fast, safe, and intuitive DataFrame library.
ClickHouse® is a real-time analytics database management system
Definitional implementation of Cedar language and utilities for DRT
Loom is a framework for automated generation of foundational multi-modal verifiers. This repository is a mirror with stable snapshots. Submit issues and PRs here.
A high-performance implementation of Wilkinson formulas for Python.
A collection of visual guides to help applied scientists learn causal inference.
Bayesian Modeling and Probabilistic Programming in Python
Faker is a Python package that generates fake data for you.
GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lift) of ad campaign.
Create delightful software with Jupyter Notebooks
Implementation of Alphafold 3 from Google Deepmind in Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Some notes on things I find interesting and important.
Optimization Models used in my e-book with the same title
A Python-embedded modeling language for convex optimization problems.