-
PhD in Machine Learning
- Brazil
- https://smastelini.github.io/
- https://orcid.org/0000-0002-0092-3572
- in/smastelini
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Starred repositories
Merlion: A Machine Learning Framework for Time Series Intelligence
Visual analysis and diagnostic tools to facilitate machine learning model selection.
STUMPY is a powerful and scalable Python library for modern time series analysis
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
Cinder is Meta's internal performance-oriented production version of CPython.
Hummingbird compiles trained ML models into tensor computation for faster inference.
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
Fast, flexible and easy to use probabilistic modelling in Python.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Algorithms for explaining machine learning models
A collection of research papers on decision, classification and regression trees with implementations.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Platform for designing and evaluating Graph Neural Networks (GNN)
Natural Gradient Boosting for Probabilistic Prediction
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Versatile audio super resolution (any -> 48kHz) with AudioSR.
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Generate Diverse Counterfactual Explanations for any machine learning model.
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Use LOTUS to process all of your datasets with LLMs and embeddings. Enjoy up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
A toolkit for time series machine learning and deep learning
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022