autonlp
🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically (by huggingface)
kaggle-disaster-tweet-competition
Participating to a Kaggle competition without coding any Machine Learning (by ferdi05)
autonlp | kaggle-disaster-tweet-competition | |
---|---|---|
3 | 1 | |
680 | 2 | |
- | - | |
7.3 | 0.0 | |
over 2 years ago | over 2 years ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
autonlp
Posts with mentions or reviews of autonlp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-19.
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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
kaggle-disaster-tweet-competition
Posts with mentions or reviews of kaggle-disaster-tweet-competition.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-10.
-
How I almost won an NLP competition without knowing any Machine Learning
Kaggle provides a training dataset of around 7,500 tweets (the input object) with their associated label (the desired output value). These labels tell if each tweet is about a disaster (its label is 1) or not (its label is 0). This dataset will be used to train a few Machine Learning models and evaluate them.
What are some alternatives?
When comparing autonlp and kaggle-disaster-tweet-competition you can also consider the following projects:
OpenPrompt - An Open-Source Framework for Prompt-Learning.
huggingface_hub - The official Python client for the Huggingface Hub.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
nlp-recipes - Natural Language Processing Best Practices & Examples
MAX-Toxic-Comment-Classifier - Detect 6 types of toxicity in user comments.
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.