Stars
Notebooks for learning deep learning
A curated list of network embedding techniques.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Solutions of Reinforcement Learning, An Introduction
Go to: https://github.com/alexklibisz/elastiknn
Jeff Dean's latency numbers plotted over time
Implementation of HNSW that supports online updates
Curated list of resources on testing distributed systems
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Most commonly used git tips and tricks.
a c++ implementation of face alignment in 3000fps
Probabilistic Modeling Toolkit for Matlab/Octave.
❄️ A PHP library for generating universally unique identifiers (UUIDs).
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)


