Irina Proskurina (upunaprosk)

upunaprosk

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Company:Université de Lyon

Location:Lyon, France

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Irina Proskurina's repositories

la-tda

Code for EACL Workshop paper Can BERT eat RuCoLA? Topological Data Analysis to Explain

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grammar-checker

Essay Grammar Checker trained on REALEC Corpus using SpaCy

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ul2-atelier-data-science

Practical Deep Learning course at the University of Lyon 2

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corpora-manipulation

Tool for converting error corpora to parallel datasets

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covid-mgpr-based-model

Code for the research project on Predicting the impacts of intervention strategies on COVID-19 trajectory (Clemson University - Université Clermont Auvergne)

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quantized-lm-confidence

Code for NAACL paper When Quantization Affects Confidence of Large Language Models?

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small-language-models

Code for CoNLL BabyLM workshop Mini Minds: Exploring Bebeshka and Zlata Baby Models

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AutoGPTQ

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

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BabyBERTa

Source code for CoNLL 2021 paper by Huebner et al. 2021

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BIG-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

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CoLA

Demo for Grammaticality Judgement (Acceptability) task

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fair-pruning

Code for the paper The Other Side of Compression: Measuring Bias in Pruned Transformers (IDA23)

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Feature_selection-based-on-IFS

Feature selection via intuitionistic fuzzy sets

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grammar-optim

Code and Results for "Universals of word order reflect optimization of grammars for efficient communication"

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Topology_for_BERT_CoLA

Code for Feature Space Analysis from the paper Acceptability Judgements via Examining the Topology of Attention Maps (EMNLP22)

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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writing-assistant

Writing assistant

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evaluation-pipeline

Evaluation pipeline for the BabyLM Challenge 2023.

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label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

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moral_stories

Data and code for the "Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences" (Emelin et al., 2021) paper.

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neural-compressor

Provide unified APIs for SOTA model compression techniques, such as low precision (INT8/INT4/FP4/NF4) quantization, sparsity, pruning, and knowledge distillation on mainstream AI frameworks such as TensorFlow, PyTorch, and ONNX Runtime.

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TruthfulQA

TruthfulQA: Measuring How Models Imitate Human Falsehoods

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ul2-nlp-course

NLP for Social Sciences course at the University of Lyon 2

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