Fast inference of Boosted Decision Trees in FPGAs
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Updated
Feb 21, 2025 - Python
Fast inference of Boosted Decision Trees in FPGAs
📊 Simple Supervised & Unsupervised Machine Learning Models to be applied to Static and Time Series datasets.
All the code used for my MSc Thesis: Search for Dark Matter using Machine Learning in dilepton and missing energy events with the ATLAS detector at the LHC, A tentative model independent approach
Research based testing of Boosted Tree Classifier for Predicting Disease from Symptoms
Implementation of decision trees for binary categorical data using numpy. Includes regular decision trees, random forest, and boosted trees.
machine learning algorithms realization
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