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Name: Irina Proskurina
Type: User
Company: Université de Lyon
Location: Lyon, France
Name: Irina Proskurina
Type: User
Company: Université de Lyon
Location: Lyon, France
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
Source code for CoNLL 2021 paper by Huebner et al. 2021
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Demo for Grammaticality Judgement (Acceptability) task
Tool for converting error corpora to parallel datasets
Code for the research project on Predicting the impacts of intervention strategies on COVID-19 trajectory (Clemson University - Université Clermont Auvergne)
Evaluation pipeline for the BabyLM Challenge 2023.
Code for the paper The Other Side of Compression: Measuring Bias in Pruned Transformers (IDA23)
Feature selection via intuitionistic fuzzy sets
Essay Grammar Checker trained on REALEC Corpus using SpaCy
Code and Results for "Universals of word order reflect optimization of grammars for efficient communication"
Code for EACL Workshop paper Can BERT eat RuCoLA? Topological Data Analysis to Explain
Label Studio is a multi-type data labeling and annotation tool with standardized output format
A framework for few-shot evaluation of language models.
Data and code for the "Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences" (Emelin et al., 2021) paper.
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.
Code for NAACL paper When Quantization Affects Confidence of Large Language Models?
Code for CoNLL BabyLM workshop Mini Minds: Exploring Bebeshka and Zlata Baby Models
Code for Feature Space Analysis from the paper Acceptability Judgements via Examining the Topology of Attention Maps (EMNLP22)
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
TruthfulQA: Measuring How Models Imitate Human Falsehoods
Practical Deep Learning course at the University of Lyon 2
NLP for Social Sciences course at the University of Lyon 2
Writing assistant
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.