Andrei-Marius Avram (avramandrei)

avramandrei

User data from Github https://github.com/avramandrei

Company:Adobe

Location:Bucharest, Romania

Home Page:https://www.linkedin.com/in/andrei-marius-avram-80698a169/

GitHub:@avramandrei

Twitter:@am_avram

Andrei-Marius Avram's repositories

BERT-Sequence-Labeling

End-to-end integration of HuggingFace's models for sequence labeling.

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OpenNIG

OpenNIG is a toolkit that generates new images from a given distribution.

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Information-Extraction-Romanian

This repository contains an information extraction system for the Romanian language.

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UPB-FinCausal-2020-Task-1

This repository contains the ensemble used by the UPB team to obtain the 2nd place at the FinCausal 2020 Task 1.

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UPB-SemEval-2020-Task-6

This repository contains the source code for the first and the second task of DeftEval 2020 competition, used by the University Politehnica of Bucharest (UPB) team to train and evaluate the models.

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histnero

This repository contains the Historical Romanian Named Entity Recognition (HistNERo) dataset.

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avramandrei.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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BioGOGame.github.io

Website of the project

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DeepFilterNet

Noise supression using deep filtering

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MTLB-STRUCT

The MWE identification system, MTLB-STRUCT, participated in the PARSEME 1.2 Shared Task on semi-supervised identification of verbal multiword expressions.

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OpenNMT-py

Open Source Neural Machine Translation in PyTorch

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pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

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Python-Code-Snippets

This repository contains some comprehensive and useful Python3 code snippets.

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ro_benchmark_leaderboard

Create a benchmark and leaderboard for Romanian language tasks

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rolargesum

Large summarization dataset for the Romanian language.

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RoWordNet-Editor

This project offers a graphical interface for editing the Romanian WordNet.

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spaCy

đź’« Industrial-strength Natural Language Processing (NLP) with Python and Cython

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