Deep learning is essentially the use of deeply layered neural networks. It’s currently a very hot topic, and here is a list of relevant free and open source tools. Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and […]
Banjo (Bayesian Network Inference with Java Objects) – static and dynamic Bayesian networks. Bayesian Network Tools in Java (BNJ) for research and development using graphical models of probability. It is implemented in 100% pure Java. BUGS – Bayesian Inference using Gibbs Sampling – Bayesian analysis of complex statistical models using Markov chain Monte Carlo methods. […]