- MGL
- MaLeCoLi, Machine Learning in Common Lisp.
- clml, Common Lisp Machine Learning Library.
- ML-Progs:More "Research-Level" Implementations of Learning Algorithms
- cl-bayesian, Common Lisp routines for Bayesian estimation and analysis.
- cl-decision-tree
- cl-simple-neuralnet, a simple implementation of multiple-layered neural network in cl.

Pages in the machine learning topic:

- cl-libsvm - Common Lisp wrapper for the libsvm support vector machine machine learning library by Ravenpack and Gabor Melis
- cl-svm - CL-SVM is a pure lisp implementation of support vector machines (SVMs)
- MGL - MGL is a machine learning library focusing on Boltzmann Machines (BM), including Deep and Restricted Boltzmann Machines (DBM, RBM) and stacks of RBMs called Deep Belief Networks (DBN)
- MGL-GPR - MGL-GPR is a machine learning library for genetic programming: evolving typed expressions for a particular purpose from a set of operators and constants