Igor Marcos Riegel's starred repositories
neural-net-internals-visualized
Visualizing some of the internals of a neural network during training and inference.
cookbook-rpolars
Cookbook to provide solutions to common tasks and problems in using Polars with R
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
Conformal-Prediction
Repositório contendo materiais de estudo sobre Predição Conforme.
great-tables
Make awesome display tables using Python.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
high-reliability-js
Examples of Error Handling and reaching High Reliability with vanilla JavaScript
pylustrator
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.
ML-Papers-Explained
Explanation to key concepts in ML
FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
human-learn
Natural Intelligence is still a pretty good idea.
mlcourse.ai
Open Machine Learning Course
scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
quarto-web
Quarto website