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A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
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.
IJCAI 2021 Tutorial & code for Retrospective Reader for Machine Reading Comprehension (AAAI 2021)
A collection of loss functions for medical image segmentation
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A Visual Analysis Tool to Explore Learned Representations in Transformers Models
📛 Fuzzy Name Matching with Machine Learning
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Full text geoparsing as a Python library
Open source annotation tool for machine learning practitioners.
Multiplex: visualizations that tell stories—A Python library to create and annotate beautiful network graph visualizations, text visualizations and more.
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
Pytorch-Named-Entity-Recognition-with-BERT
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
reference pytorch code for huggingface transformers
TensorFlow code and pre-trained models for BERT
Learning embeddings for classification, retrieval and ranking.