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PhD in Machine Learning
- Brazil
- https://smastelini.github.io/
- https://orcid.org/0000-0002-0092-3572
- in/smastelini
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PyGWalker: Turn your dataframe into an interactive UI for visual analysis
A framework for managing and maintaining multi-language pre-commit hooks.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
An open access book on scientific visualization using python and matplotlib
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A unified framework for machine learning with time series
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
A python library for user-friendly forecasting and anomaly detection on time series.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
A collection of machine learning examples and tutorials.
A Python implementation of global optimization with gaussian processes.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Code for the paper "Jukebox: A Generative Model for Music"
🚴 Call stack profiler for Python. Shows you why your code is slow!
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Portfolio analytics for quants, written in Python
A lightweight, object-oriented finite state machine implementation in Python with many extensions
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Benchmarks of approximate nearest neighbor libraries in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.