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Manal Abumelha's Projects

-llm-llm icon -llm-llm

An ecosystem of Rust libraries for working with large language models

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

dl4nlp icon dl4nlp

Deep Learning for NLP resources

llm-guide icon llm-guide

Resources for training, hosting and developing with large language models πŸš€

llm-llm-app icon llm-llm-app

LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚑in sync with your data sources.

llm-llm-awq icon llm-llm-awq

[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

llm-llm-research icon llm-llm-research

A list of LLM related papers, thesis, tutorials, tools, datasets, courses, open source models, benchmarks

llm-llmsurvey icon llm-llmsurvey

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

llm-self-learn-llms icon llm-self-learn-llms

A repository for my self-learning journey on LLMs. Collection of resources, notebooks, blogs, tutorials.

medical_nlp icon medical_nlp

Medical NLP Competition, dataset, large models, paper

nlp icon nlp

:memo: This repository recorded my NLP journey.

nlp-in-practice icon nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

nlp-journey icon nlp-journey

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.

nlp-notebooks icon nlp-notebooks

A collection of notebooks for Natural Language Processing from NLP Town

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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