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Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Flax is a neural network library for JAX that is designed for flexibility.
API para consultar las provincias dominicanas así como sus municipios y distritos municipales
Visualizations for machine learning datasets
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
All Algorithms implemented in Python
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
The fastai book, published as Jupyter Notebooks
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
An open-source, low-code machine learning library in Python
A python library for decision tree visualization and model interpretation.
Machine Learning en Power BI con R y Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly wit…
A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
Repository for a workshop on Bayesian Decision Analysis
Text and code for the second edition of Think Bayes, by Allen Downey.
Translations of Think Bayes.
An extension of XGBoost to probabilistic modelling