There are 0 repository under pruning-optimization topic.
Minmax (minimax) algorithm with Alpha-Beta (𝛼−𝛽, ab) Pruning optimization for the Checkers (Draughts) game in Python 3. Same minimax algorithm works for chess, tic tac toe or similar games.
Supervised Machine Learning Analysis Using Classification Models
Some DNN model optimization experiments and notebooks
This repository contains scripts to prune Wav2vec2 using a neuroevolution-based method. More details about this method can be found in the paper Compressing Wav2vec2 for Embedded Applications.
The objective of this project is to understand and implement the most commonly used Tree-pruning methods, Pre-pruning and Post-pruning.
A collection of multiple projects involving tasks such as classification, time series forecasting , regression etc. on a number of datasets using different machine learning algorithms such as random forest, SVM, Naive Bayes, Ensemble, perceptron etc in addition to data cleaning and preparation.
Frequency Based Pruning (FBP) is a feature selection algorithm based upon maximizing the Youden J statistic. FBP intelligently enumerates through combinations of features, using the frequency of smaller patterns to prune away large regions of the solution space.
Pytorch optimizer for nonsmooth, nonconvex, sparsity inducing, regularizers
A bot for Ultimate Tic-Tac-Toe game on http://theaigames.com/ and http://pub.theaigames.com/competitions/ultimate-tic-tac-toe
IISc/CSA E0-294: Systems for Machine learning - Course project on employing causal insights in DNN model pruning and performance
Homework for Graduate Deep Learning Course
DenseNet & Resnet as Backbone to Perform Lahan Gambut Classification with Self-Attention Pruning Mechanism
CPT_S 570 Machine Learning
leverage decision tree-based models for predicting credit approval.