- Berlin, Germany.
Highlights
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Stars
Companion webpage to the book "Mathematics For Machine Learning"
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
Get started using GitHub in less than an hour.
An implementation of the high-dimensional matrix mechanism
A fast Sudoku solver and generator with a benchmark suite for comparing the fastest known solvers.
Tutorial on image dataset curation
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
This is my write-up of the lecture and the homework exercises of the module ADM2
Percepion in Robotics, T3 course 2020-2021 from the Data Science Program at Skoltech
Course Perception in Robotics, Skoltech, MS in Data Science, during T3, 2020. Topics studied are perception, localization, mapping and SLAM.
My connected mirror display using python
A pattern-based approach for learning technical interview questions
💻 A curated list of awesome bitwise operations and tricks
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Public facing notes page
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
❗ This is a read-only mirror of the CRAN R package repository. bayesianETAS — Bayesian Estimation of the ETAS Model for Earthquake Occurrences
A Minimal C++ Least Squares Fitting Library
Earthquake Frequency-Magnitude Distribution & Network Statistics
A flexible and efficient С++ template library for dimension reduction
open-source feature selection repository in python