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Atsuki Yamaguchi's Projects

cond-vae icon cond-vae

This is the implementation of conditional variational autoencoders(CVAE) written in Keras.

conv-vae icon conv-vae

This is the implementation of convolutional variational autoencoders written in Python 3.6 with keras.

elmo-imdb icon elmo-imdb

This is the test source code for utilizing pre-trained ELMo model to classify IMDB.

lighteval icon lighteval

LightEval is a lightweight LLM evaluation suite that Hugging Face has been using internally with the recently released LLM data processing library datatrove and LLM training library nanotron.

llm-cva icon llm-cva

Code for "An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative LLM Inference"

mlai icon mlai

Machine Learning And Adaptive Intelligence Module

naive-bayes icon naive-bayes

IMDBのネガポジ分類をナイーブベイズで実装しました

pe-visualization icon pe-visualization

This is just for visualizing positional encoding with seaborn's heat map.

predicting-nash icon predicting-nash

This is the implementation of Prediction of Nash Bargaining Solution in Negotiation Dialogue

pytorch-imdb-cv icon pytorch-imdb-cv

This is the implementation of IMDB classification with GRU + k-fold CV in PyTorch

utility-load-dataset icon utility-load-dataset

This module can be used for loading your original image datasets and convert them into NumPy arrays.

vae icon vae

This is the implementation of variational autoencoders (VAE) written in Python 3.6 with Keras.

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