demelin/Learning-pyTorch

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MIT License
Created over 7 years ago
Updated over 7 years ago

demelin/Learning-pyTorch

demelin

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Toy exercises completed purely for fun as part of exploring and learning pyTorch.

Sentence-similarity-classifier-for-pyTorch

Re-implementation of Mueller's et al., "Siamese Recurrent Architectures for Learning Sentence Similarity." (AAAI, 2016)

moral_stories

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

Noise-Contrastive-Estimation-NCE-for-pyTorch

Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)

transformer_lexical_shortcuts

Codebase accompanying the paper 'Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts', (Emelin, Denis, Ivan Titov, and Rico Sennrich, Fourth Conference on Machine Translation, Florence, 2019.)

nmt_toolkit

Materials for the second assignment of INFR 11157.

detecting_wsd_biases_for_nmt

Repository containing the experimental code for the publication 'Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks' (Emelin, Denis, Ivan Titov, and Rico Sennrich, EMNLP 2020).

Wino-X

Supplementary materials for the paper "Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution" (Emelin et al., 2021)

Learning-Reinforcement-Learning-with-TensorFlow

Cleaned up code from deep reinforcement learning tutorials, replicated for personal practice.

nematode

NEMATODE is a light-weight neural machine translation toolkit built around the transformer model. Implemented in TensorFlow.