Julien-Charles Lévesque's repositories
bagged-budget-svms
Ensembles of Budgeted Kernel Support Vector Machines
bayes_ens_opt
Bayesian optimization of hyperparameters applied to ensemble generation
task_buffet
Simple distributed task manager with file locking mechanisms. All nodes are worker nodes and just pick available tasks from the buffet.
cuda-convnet
Copy of the cuda-convnet original code repository adapted to remove outdated dependencies. Also added a runnet.py module aiming at exploiting trained models, the only real feature added is the saving of predictions (class probabilities) to files.
gp_families
GP families for CASH problems
spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012