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Aurimas Račas's starred repositories

reflex

🕸️ Web apps in pure Python 🐍

Language:PythonApache-2.019008 148 1552

marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

Language:PythonApache-2.06091 31 567

neural_prophet

NeuralProphet: A simple forecasting package

Language:PythonMIT3800 54 541

lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Language:RustApache-2.03769 40 931

quadratic

Quadratic | Technical Spreadsheet with Python, SQL, and AI

Language:TypeScriptNOASSERTION2909 28 675

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

Language:PythonMIT2509 48 164

stat_rethinking_2023

Statistical Rethinking Course for Jan-Mar 2023

Language:RCC0-1.02189 151 15

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

Language:Jupyter NotebookApache-2.01801 76 18

awesome-quarto

A curated list of Quarto talks, tools, examples & articles! Contributions welcome!

CC0-1.01686 64 184

bytewax

Python Stream Processing

Language:PythonApache-2.01459 16 93

contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Language:PythonMIT1190 17 109

functime

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Language:PythonApache-2.01006 13 109

grf

Generalized Random Forests

Language:C++GPL-3.0953 46 490

blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Language:PythonApache-2.0791 13 309

awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

Language:C++NOASSERTION550 13 127

wizmap

Explore and interpret large embeddings in your browser with interactive visualization! 📍

Language:TypeScriptMIT400 5 20

mango

Parallel Hyperparameter Tuning in Python

Language:Jupyter NotebookApache-2.0335 11 44

chat-gpt-jupyter-extension

A browser extension to provide various AI helper functions in Jupyter Notebooks, powered by ChatGPT.

Language:TypeScriptGPL-3.0302 4 35

essays-on-data-science

In which I put together my thoughts on the practice of data science.

Language:Dockerfile276 10 6

causal-inference-visual-guides

A collection of visual guides to help applied scientists learn causal inference.

bayeux

State of the art inference for your bayesian models.

Language:PythonApache-2.0132 3 13

statistical-rethinking-2023

Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.

Language:Jupyter NotebookGPL-3.0111 3 2

pymc3-hmm

Hidden Markov models in PyMC3

Language:PythonNOASSERTION94 12 44

RACplusplus

A high performance implementation of Reciprocal Agglomerative Clustering in C++

Language:Jupyter NotebookMIT50 4 8

causact

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

Language:RNOASSERTION43 5 47

pymc_statespace

A system for Bayesian estimation of state space models using PyMC

Language:Python33 6 1

flexBART

Towards a more flexible BART

Language:C++21 4 9

Latent-Bayesian-MSM

Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science

Language:HTMLBSD-2-Clause18 30

causalHAL

Adaptive debiased machine learning of treatment effects with the highly adaptive lasso

Language:R13 20