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This project focuses on fine-tuning a BERT model for question answering using a limited dataset for illustration purposes.
A Greek edition of BERT pre-trained language model
DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.
A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy witho…
Implementation & analysis of various NLP techniques in Python: 4 projects on tokenization, text classification, sequence labeling, and more
Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.
The R Package “Survey Data Quality” has been created as one of the outputs of the Research Project “Innovative methods and high-quality data for populism and euroscepticism research” DATAPOPEU.
This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoing trees for an annual tree inspections.
Data imputations library to preprocess datasets with missing data
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
Welcome to the User Friendly Python Kriging Toolbox!
Multivariate imputation and matrix completion algorithms implemented in Python
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-s…
Multidimensional time series imputation in Tensorflow 2.1.0
proof of concept for a transformer-based time series prediction model
Multivariate Time Series Transformer, public version
Uplift modeling and causal inference with machine learning algorithms
Codes to complement YouTube videos and blog posts on Medium.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Supervised discretization of continuous arrays using information value
Entropy based binning of discrete variables.