Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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Updated
Mar 15, 2023 - Python
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
A research library for pytorch-based neural network pruning, compression, and more.
Model optimizer used in Adlik.
Caffe/Neon prototxt training file for our Neurocomputing2017 work: Fuzzy Quantitative Deep Compression Network
Hierarchical Ensemble Pruning
attention pruning
Play the Othello board game against the algorithm and try to win!
Web based Connect 4 game with an AI opponent.
Experiments for channel-based Structured Pruning Adapters
Java implementation of an automatic player for the Murus Gallicus game.
Project code developed to accompany the thesis of the bachelor programme BSc Data Science and Artificial Intelligence, taught by Universiteit Maastricht. It consists in (re-)discovering Forbidden Minors for Threewidth, through a series of graph search/analysis techniques.
Predicting employee productivity using tree models (decision tree cassification, cross validation, minimal cost-complexity pruning, random forest)
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