In-memory databases are characterised by speed and the ability to perform complex processing at very high volumes. They have become feasible because of the low cost of memory and large addressable memory spaces. Several better known ones are listed below. Aerospike NoSQL database is a open source, clustered and distributed database optimized for reliable, high […]
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. […]