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Radu Grosu's Projects

aoc2019 icon aoc2019

Advent of Code in Rust (inspired by Brian Myers)

bap icon bap

Bayesian Analysis with Python (Second Edition)

bookdown icon bookdown

Authoring Books and Technical Documents with R Markdown

clearml icon clearml

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

polars icon polars

Fast multi-threaded DataFrame library in Rust | Python | Node.js

prml icon prml

PRML algorithms implemented in Python

pytudes icon pytudes

Python programs to practice or demonstrate skills.

tf2_course icon tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

thinkbayes2 icon thinkbayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

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