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Google Research
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Visualizations for machine learning datasets
Flax is a neural network library for JAX that is designed for flexibility.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Probabilistic reasoning and statistical analysis in TensorFlow
Solve puzzles. Improve your pytorch.
Lectures on scientific computing with python, as IPython notebooks.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Open Content for self-directed learning in data science
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
Notebooks about Bayesian methods for machine learning
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Bayesian Data Analysis demos for Python
Gaussian Process Optimization using GPy
Text and supporting code for Modeling and Simulation in Python
DX Analytics | Financial and Derivatives Analytics with Python
Deep learning for molecules and materials book
This repo contains materials for use in a TensorFlow workshop.
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.