Taekyoon's repositories

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LegalQA

Korean LegalQA using SentenceKoBART

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acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

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CodeMixed-Text-Generator

This tool helps automatic generation of grammatically valid synthetic Code-mixed data by utilizing linguistic theories such as Equivalence Constant Theory and Matrix Language Theory.

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course

The Hugging Face course

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distilabel

⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

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EasyDeL

EasyDeL is an OpenSource Library to make your training faster and more Optimized With cool Options for training and serving Both in Python And Mojo🔥

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EasyLM

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

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executors

internal-only

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ko-lm-evaluation-harness

Forked repo from https://github.com/EleutherAI/lm-evaluation-harness/commit/1f66adc

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KoAlpaca

KoAlpaca: Korean Alpaca Model based on Stanford Alpaca (feat. LLAMA and Polyglot-ko)

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kogpt

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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llmss

LLM simple serving (tensor model parallel, pubsub, grpc)

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LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

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lm-evaluation-harness

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

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nlp-notebooks

A collection of notebooks for Natural Language Processing from NLP Town

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PaLM-pytorch

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

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RecBole

A unified, comprehensive and efficient recommendation library

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recommender-system

A set of available examples in recommender system.

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RetNet

Huggingface compatible implementation of RetNet (Retentive Networks, https://arxiv.org/pdf/2307.08621.pdf) including parallel, recurrent, and chunkwise forward.

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S2APLER

S2APLER: S2 Agglomeration of Papers with Low Error Rate (it's for academic paper clustering)

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SparkDefinitiveGuide

스파크 완벽가이드

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transformers_palm_dev

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

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