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…

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

A computer science textbook

3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

A Jupyter Server Extension Providing Support for Y Documents

Python bindings for the C++14 Boost::Histogram library

ROOT course for students

Numerical derivatives for Python

Package to parse decay files, describe and convert particle decays between digital representations.

Import Jupyter notebooks from Typst

Fast, optimal, extensible and cross-validated heterogeneous piecewise polynomial regression for timeseries

A fast vertex fitter based on the eigen library and the kalman filter

Machine Learning based Analysis Framework for physics on top of REP

Collection of jupyter notebooks for statistics teaching

Integration test allowing to test network and I/O for data analysis

Hands-on session for evaluation of systematic uncertainties in profile likelyhood fits with cabinetry and pyhf

pandas support for uncertainties

Cuts As Biases in Networks

Evaluate the performance of a fast silicon sensor for Belle 3