FedericoGarza
CTO & Co-Founder @Nixtla. I’m interested in Machine Learning, and Deep Learning applied to time series forecasting. They/them.
@NixtlaMexico
Pinned Repositories
aprendizaje-maquina-2017
Notas y material para el curso de aprendiza de máquina 2017 (ITAM)
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
covidmx
Python API to get information about COVID-19 in México.
fforma
Python package for Feature-based Forecast Model Averaging (FFORMA).
mapsmx
Create maps of Mexico easily with Python.
proyecto-mate-compu
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
FedericoGarza's Repositories
FedericoGarza/covidmx
Python API to get information about COVID-19 in México.
FedericoGarza/fforma
Python package for Feature-based Forecast Model Averaging (FFORMA).
FedericoGarza/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
FedericoGarza/clip_raster_with_polygons
Clips/crops a raster file using a shapefile composed of several features. // Corta un archivo raster a partir de un shapefile compuesto por varios polígonos.
FedericoGarza/Definition
Definition for Open Weights LIcensing
FedericoGarza/driverlessai-recipes
Recipes for Driverless AI
FedericoGarza/evalml
EvalML is an AutoML library written in python.
FedericoGarza/fabletools
General fable features useful for extension packages
FedericoGarza/fold-models
🧩 Models and wrappers for 3rd party models to be used with `fold` (github.com/dream-faster/fold)
FedericoGarza/forecast
forecast package for R
FedericoGarza/github-action
CLA Assistant GitHub Action
FedericoGarza/hierarchicalforecast
Hierarchical 👑 forecasting with statistical and econometric methods
FedericoGarza/hierarchicalforecast-feedstock
A conda-smithy repository for hierarchicalforecast.
FedericoGarza/IIF_workshop_open_source_for_forecasting
FedericoGarza/lightwood
Lightwood is Legos for Machine Learning.
FedericoGarza/mindsdb
MindsDB connects AI models to databases.
FedericoGarza/mlforecast
Scalable machine 🤖 learning for time series forecasting.
FedericoGarza/neural_prophet
NeuralProphet: A simple forecasting package
FedericoGarza/neuralforecast-feedstock
A conda-smithy repository for neuralforecast.
FedericoGarza/nixtla-demo-api
FedericoGarza/OpenBBTerminal
Investment Research for Everyone, Anywhere.
FedericoGarza/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
FedericoGarza/pydata-timeseries-forecasting
Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
FedericoGarza/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
FedericoGarza/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
FedericoGarza/sktime
A unified framework for machine learning with time series
FedericoGarza/statsforecast-feedstock
A conda-smithy repository for statsforecast.
FedericoGarza/statsforecast-nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
FedericoGarza/sync-repos
Github action to sync files among multiple repos
FedericoGarza/tutorials
Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask without any rewrites.