Stars
Next-gen fast plotting library running on WGPU using the pygfx rendering engine
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Unified Training of Universal Time Series Forecasting Transformers
The modern replacement for Jupyter Notebooks
lightweight, standalone C++ inference engine for Google's Gemma models.
Gemma open-weight LLM library, from Google DeepMind
NeuralProphet: A simple forecasting package
Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"
Performance-portable, length-agnostic SIMD with runtime dispatch
High-Performance Symbolic Regression in Python and Julia
Distributed High-Performance Symbolic Regression in Julia
Experimental Maps for Web, Mobile and Desktop
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Source code for the Library of Statistical Techniques
This repository contains implementations and illustrative code to accompany DeepMind publications
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
QuestDB is a high performance, open-source, time-series database
Metaprogramming tools for DataFrames
Making text a first-class citizen in TensorFlow.
Google Research
Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"
Efficiently Estimate Treatment Effects Based On A Parametric Model For Treatment Effects
The Economist's model to estimate excess deaths to the covid-19 pandemic