nlp-recipes VS nlp-tutorial

Compare nlp-recipes vs nlp-tutorial and see what are their differences.

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nlp-recipes nlp-tutorial
5 1
6,020 13,712
- -
0.0 0.0
over 1 year ago 2 months ago
Python Jupyter Notebook
MIT License MIT License
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.

nlp-recipes

Posts with mentions or reviews of nlp-recipes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.

nlp-tutorial

Posts with mentions or reviews of nlp-tutorial. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-29.

What are some alternatives?

When comparing nlp-recipes and nlp-tutorial you can also consider the following projects:

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

nlp_course - YSDA course in Natural Language Processing

OpenPrompt - An Open-Source Framework for Prompt-Learning.

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

awesome-nlp - :book: A curated list of resources dedicated to Natural Language Processing (NLP)

deepsegment - A sentence segmenter that actually works!

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

Parrot_Paraphraser - A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"