Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/22845#learn_the_details-overview). The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet)…
SemEval-2018 Task 12: The Argument Reasoning Comprehension Task
PyTorch implementation for Image Denoising and Image Dehazing
🥉 Codalab-Microsoft-COCO-Image-Captioning-Challenge 3rd place solution(06.30.21)
Named Entity Oriented Sentiment Analysis Task for mass-media texts
Official Contribution for DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition. Solving NLP problem of "extracting term-definition pairs in free text" in multiple approaches ranging from highly simple till very complex modern ones.
Classification of Offensive tweets, part of OffensEval 2019 Competition.
DeftEval 2020 is an NLP problem that is concerned with extracting definition in free text and definition classification.
Building a CNN with Tensorflow to solve Aerial Challenge, which is a multi-class geographic image classification challenge on CodaLab,
Classification of Offensive tweets in the context of the SemEval 2019 Challenge
Using LGBMClassifier to solve To-Be Challenge, which is a machine learning challenge on CodaLab Platform that aims to adress the problems of medical imbalanced data classification.
A machine learning pipeline for rental revenue prediction using advanced regression ensembles (XGBoost, GradientBoosting, RandomForest) optimized via RandomizedSearchCV.
The 1st place solution code for the educational competition on text detoxification at Ozon Masters NLP Course
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