ML-YouTube-Courses VS customer-support-intent-detection-training-dataset

Compare ML-YouTube-Courses vs customer-support-intent-detection-training-dataset and see what are their differences.

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ML-YouTube-Courses customer-support-intent-detection-training-dataset
309 1
14,378 10
1.1% -
7.2 10.0
4 months ago over 1 year ago
Creative Commons Zero v1.0 Universal GNU General Public License v3.0 or later
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.

ML-YouTube-Courses

Posts with mentions or reviews of ML-YouTube-Courses. We have used some of these posts to build our list of alternatives and similar projects.

customer-support-intent-detection-training-dataset

Posts with mentions or reviews of customer-support-intent-detection-training-dataset. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ML-YouTube-Courses and customer-support-intent-detection-training-dataset you can also consider the following projects:

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

Transformers-Recipe - 🧠 A study guide to learn about Transformers

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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

Failed-ML - Compilation of high-profile real-world examples of failed machine learning projects

awesome-conversational-ai - A curated list of delightful Conversational AI resources.

PromptPapers - Must-read papers on prompt-based tuning for pre-trained language models.

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

nlphoseGUI - This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline.

ML-Course-Notes - 🎓 Sharing machine learning course / lecture notes.