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https://github.com/team-sakata/awesome-ML-NLP

A curated list of awesome resources for research about Machine Learning and Natural Language Processing. it includes lot of useful libraries and on-going conferences.
https://github.com/team-sakata/awesome-ML-NLP

List: awesome-ML-NLP

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A curated list of awesome resources for research about Machine Learning and Natural Language Processing. it includes lot of useful libraries and on-going conferences.

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# awesome-ML-NLP

A curated list of awesome resources for research about **Machine Learning** and **Natural Language Processing**. it includes lot of useful libraries and on-going conferences.

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## Conferences, Programmes and Events

- Machine Learning

  - [ICML](https://icml.cc/Conferences/2023) - The International Conference on Machine Learning

  - [NeurIPS](https://nips.cc) - The conference on Neural Information Processing Systems

  - [ICLR](https://iclr.cc/Conferences/2023/CallForPapers) - The International Conference on Learning Representations

  （近年のLLM研究ではICML・ICLRに目を通すこともおすすめ）

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- Natural Language Processing

  - [ACL](https://aclanthology.org/events/acl-2023/) - Annual Meeting of the Association for Computational Linguistics

  - [EMNLP](https://2023.emnlp.org) - The Conference on Empirical Methods in Natural Language Processing

  - [NAACL](https://naacl.org) - The North American Chapter of the Association for Computational Linguistics

​

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- Computer Vision

  - [CVPR](https://cvpr.thecvf.com/Conferences/2023) - The Computer Vision and Pattern Recognition Conference

  - [ICCV](https://iccv2023.thecvf.com) - The International Conference on Computer Vision

  - [ECCV](https://eccv2022.ecva.net) - The European Conference on Computer Vision

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- Data Mining/Information Retrieval/Web

  - [KDD](https://kdd.org/kdd2023/) - The international conference on Knowledge Discovery and Data mining

  - [Web Conference](https://archives.iw3c2.org/www2023/) - The international conference on the topics related to World Wide Web

  - [SIGIR](https://sigir.org/sigir2023/) - The international conference on research and development in information retrieval

​

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- Artificial Intelligence

  - [AAAI](https://aaai-23.aaai.org) - The conference on artificial intelligence

  - [IJCAI](https://ijcai-23.org) - The International Joint Conference on Artificial Intelligence

 

## Datasets

- 

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## Libraries, Softwares

- 研究室で頻用

  - [pytorch](https://github.com/pytorch/pytorch) - Python package providing Tensors that can live either on the CPU or the GPU and accelerates the computation by a huge amount and a way of building neural networks

  - [transformers](https://github.com/huggingface/transformers) - Python package providing thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio

  - [numpy](https://github.com/numpy/numpy) - The fundamental package for scientific computing with Python

  - [scikit-learn](https://github.com/scikit-learn/scikit-learn) - Python module for machine learning built on top of SciPy

  - [scipy](https://github.com/scipy/scipy) - open-source software including modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more

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- 研究室ではあまり用いられないが有名

  - [Tensorflow](https://github.com/tensorflow/tensorflow) - an end-to-end open source platform for machine learning

  - [JAX](https://github.com/google/jax) - Autograd and XLA, brought together for high-performance machine learning research

  - [Keras](https://github.com/keras-team/keras) - deep learning API written in Python, running on top of the machine learning platform TensorFlow

​

## Books, Slides and Review papers

- [機械学習プロフェッショナルシリーズ](https://www.kspub.co.jp/book/series/S043.html) 講談社サイエンティフィック

- [自然言語処理の基礎](https://www.ohmsha.co.jp/book/9784274229008/) オーム社 (2022年までの主要研究を網羅)

- [自然言語処理シリーズ](https://www.coronasha.co.jp/np/result.html?ser=98) コロナ社 (各ドメインに特化)

- [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/publication/pattern-recognition-machine-learning/)

- [Stanford CS224N: Natural Language Processing with Deep Learning](https://web.stanford.edu/class/cs224n/)

- [Stanford CS324: Large Language Models](https://bulletin.stanford.edu/courses/2233671)

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## Journals

- [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=34)

- [Transactions of the Association for Computational Linguistics](https://transacl.org/index.php/tacl)

- [Journal of Machine Learning Research](https://www.jmlr.org)

- [Transactions on Machine Learning Research](https://jmlr.org/tmlr/)

- [Nature Machine Intelligence](https://www.nature.com/natmachintell/)

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## Researchers

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