MAX-Toxic-Comment-Classifier
autonlp
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| MAX-Toxic-Comment-Classifier | autonlp | |
|---|---|---|
| 1 | 3 | |
| 51 | 680 | |
| - | - | |
| 0.0 | 7.3 | |
| 11 months ago | about 2 years ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MAX-Toxic-Comment-Classifier
autonlp
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Classifying song lyrics with Natural Language Processing and AutoML
In this video, I use AutoNLP, an AutoML product designed by Hugging Face, to train a model that classifies song lyrics according to their genre.
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How I almost won an NLP competition without knowing any Machine Learning
If you want to win a Kaggle competition or to train a model for your business or pleasure, you can get started with AutoNLP here.
- AutoNLP: Faster and easier training and deployments of SOTA NLP models
What are some alternatives?
spacy-models - 💫 Models for the spaCy Natural Language Processing (NLP) library
OpenPrompt - An Open-Source Framework for Prompt-Learning.
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.
huggingface_hub - The official Python client for the Huggingface Hub.
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
nlp-recipes - Natural Language Processing Best Practices & Examples
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
kaggle-disaster-tweet-competition - Participating to a Kaggle competition without coding any Machine Learning
MAX-Object-Detector - Localize and identify multiple objects in a single image.
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP