|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Transformers||87,323||64||911||6 hours ago||91||June 21, 2022||604||apache-2.0||Python|
|🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.|
|D2l Zh||40,601||1||a day ago||45||March 25, 2022||21||apache-2.0||Python|
|Made With Ml||32,763||5 days ago||5||May 15, 2019||8||mit||Jupyter Notebook|
|Learn how to responsibly develop, deploy and maintain production machine learning applications.|
|Spacy||25,582||1,533||842||7 hours ago||196||April 05, 2022||110||mit||Python|
|💫 Industrial-strength Natural Language Processing (NLP) in Python|
|Applied Ml||23,904||a day ago||5||mit|
|📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.|
|Nlp Progress||21,398||15 days ago||45||mit||Python|
|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.|
|D2l En||16,954||6 days ago||83||other||Python|
|Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.|
|Rasa||15,836||32||28||6 hours ago||274||July 06, 2022||111||apache-2.0||Python|
|💬 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|
|Datasets||15,589||9||208||a day ago||52||June 15, 2022||528||apache-2.0||Python|
|🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools|
|Lectures||14,554||6 years ago||10|
|Oxford Deep NLP 2017 course|
This is a list of some wonderful open-source projects & applications integrated with Hugging Face libraries.
First-party cool stuff made with by Hugging Face.
Learn how to use Hugging Face toolkits, step-by-step.
NLP toolkits built upon Transformers. Swiss Army!
Converting a sentence to a vector.
Highly optimized inference engines implementing Transformers-compatible APIs.
Parallelization models across multiple GPUs.
Compressing or accelerate models for improved inference speed.
Conducting adversarial attack to test model robustness.
Transfer the style of text! Now you know why it's called transformer?
Analyzing the sentiment and emotions of human beings.
You made a typo! Let me correct it.
Translating between different languages.
Learning knowledge, mining entities, connecting the world.
Speech processing powered by HF libraries. Need for speech!
Understanding the world from different modalities.
Combining RL magic with NLP!
Searching for answers? Transformers to the rescue!
I think this is just right for you!
Evaluating NLP outputs powered by HF datasets!
Search, but with the power of neural networks!
Cloud makes your life easy!
The infrastructure enabling the magic to happen.