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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 filteโฆ
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
๐ GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Tools used to generate the SciPy conference proceedings
A Jupyter Server Extension Providing Support for Y Documents
Python bindings for the C++14 Boost::Histogram library
Package to parse decay files, describe and convert particle decays between digital representations.
Fast, optimal, extensible and cross-validated heterogeneous piecewise polynomial regression for timeseries
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
Evaluate the performance of a fast silicon sensor for Belle 3
Example repository structure for a PyHEP style "notebook talk"