C++ OpenMP and CUDA implementation of parallel ensembling of global stiffness matrix.
-
Updated
Dec 27, 2018 - C++
C++ OpenMP and CUDA implementation of parallel ensembling of global stiffness matrix.
It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.
Analysis of Insurance Liability Claim Amount for settlement
Ensemble learning related books, papers, videos, and toolboxes
: Visualization & Prediction
An ensemble is based on the notion of combining models. While uplift modeling combines supervised modeling with A-B testing, which is a simple type of randomized experiment.
Competition was Classify This Movie by Genre Prediction of Movies based on their Poster
Python package for stacking (machine learning technique)
37th place solution for the 2020-2021 Kaggle competition "Rock, Paper, Scissors"
This repo consists of notebooks I created to work upon the skills I learnt through several courses. All notebook has EDA, Model Building, Hyperparameter Tuning, Ensemble Models and Sampling Techniques.
LAMA - automatic model creation framework
This is 35th place solution to shell ai hackathon hosted on HackerEarth platform.
Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. We make a model which is efficient in detecting one.
An named-entity-recognition (NER) based anonymizer for archival documents metadata.
Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
Metis project 4/7
Ensemble methods for improving extractive summarization of legal case judgements
Templated boilerplate for experiments in Active and Ensemble Learning.
An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.
Add a description, image, and links to the ensembling topic page so that developers can more easily learn about it.
To associate your repository with the ensembling topic, visit your repo's landing page and select "manage topics."