Emergent (a major rewrite of PDP++) is a comprehensive simulation environment for creating complex, sophisticated models of the brain and cognitive processes using neural network models.
Monte (python) is a Python framework for building gradient based learning machines, like neural networks, conditional random fields, logistic regression, etc.
Pyro stands for Python Robotics. The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of the underlying hardware.
The course covers supervised approaches to machine learning. It starts by reviewing fundamentals of statistical learning and probabilistic pattern recognition followed by an in-depth introduction to various supervised learning algorithms such as Least Squ
This paper deals with the automated creation of ge-
ometric and photometric correct 3-D models of the
world. Those models can be used for virtual reality, tele–
presence, digital cinematography and urban planning ap-
plications. The combination of range (dense depth esti-
mates) and image sensing (color information) provides
data–sets which allow us to create geometrically correct,
photorealistic models of high quality.