Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box!

Learn how Claude 4’s innovative tools redefine AI-driven workflows for developers, researchers, and creative problem-solvers.

For the latest release MiDaS 3.1, a technical report and video are available. MiDaS was trained on up to 12 datasets (ReDWeb, DIML, Movies, MegaDepth, WSVD, TartanAir, HRWSI, ApolloScape, BlendedMVS, ...

Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the development activity and support happen over there.