Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
637 results
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
🔥Highlighting the top ML papers every week.
Oxford Deep NLP 2017 course
Topic Modelling for Humans
📺 Discover the latest machine learning / AI courses on YouTube.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
A curated list of resources for Document Understanding (DU) topic
Must-read papers on prompt-based tuning for pre-trained language models.
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Pytorch-Named-Entity-Recognition-with-BERT
Korean BERT pre-trained cased (KoBERT)
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
A PyTorch-based knowledge distillation toolkit for natural language processing
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
A Unified Library for Parameter-Efficient and Modular Transfer Learning
24,523 repositories in the index in total.
