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Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
NotesTeX (or its nickname NoTeX) is a simple LaTeX notes taking package for students.
A computer science textbook
GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Template for reliable, cross-platform C++ project setup using cmake.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Simple MPL-2.0-licensed C++ geometry processing library.
A streaming and non-blocking API for reading and processing DICOM data
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
The collection of papers about combining deep learning and Bayesian nonparametrics
Data science interview questions and answers
COLMAP - Structure-from-Motion and Multi-View Stereo
zsh plugin that lets you use zsh in nix-shell shells.
A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.