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batchbald_redux

Reusable BatchBALD implementation

bayesian-summarization

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

diploma

fnet-pytorch

Unofficial PyTorch implementation of Google's FNet: Mixing Tokens with Fourier Transforms. With checkpoints.

hnsw_python

Realization of Hierarchical Navigable Short World as proposed in http://arxiv.org/pdf/1603.09320v2.pdf

intro_to_dl

Intro to DL 2020/2021, HSE

intro_to_dl_dsba_21_22

Repository for first subpart of Machine Learning - 2 course for DSBA, HSE & University of London, 4 course, 21/22

mini_works

ml-1-mldis

Repository for the course "Machine Learning: Advanced Methods" at the online Master's Program "Machine Learning and Data-Intensive Systems" at HSE

ml-2

Repository for "Machine Learning - 2" course of the DSBA program, HSE & University of London, 4 course, 22/23

nmt

TensorFlow Neural Machine Translation Tutorial

summac

Codebase, data and models for the SummaC paper in TACL

term_paper

Курсовая работа

term_paper_3_conjoint_analysis

Term paper for the third course on topic "Conjoint Analysis with Bayesian Logistic Regression"

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformersum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.