Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Nltk | 12,699 | 10,496 | 2,261 | 6 months ago | 59 | July 20, 2023 | 268 | apache-2.0 | Python | |
NLTK Source | ||||||||||
Practical Machine Learning With Python | 2,054 | a year ago | 19 | apache-2.0 | Jupyter Notebook | |||||
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system. | ||||||||||
Self Attentive Parser | 666 | 3 | 15 | 2 years ago | 14 | February 14, 2021 | 30 | mit | Python | |
High-accuracy NLP parser with models for 11 languages. | ||||||||||
Building A Simple Chatbot In Python Using Nltk | 482 | a year ago | 6 | Jupyter Notebook | ||||||
Building a Simple Chatbot from Scratch in Python (using NLTK) | ||||||||||
Tensorlayer Tricks | 351 | 6 years ago | ||||||||
How to use TensorLayer | ||||||||||
Aind Nlp | 215 | 3 years ago | 2 | Jupyter Notebook | ||||||
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program. | ||||||||||
Embedditor | 192 | 7 months ago | 2 | agpl-3.0 | PHP | |||||
⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team. | ||||||||||
Nlp Cheat Sheet Python | 98 | a year ago | Jupyter Notebook | |||||||
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition | ||||||||||
Python Tutorial Notebooks | 97 | 6 months ago | 2 | apache-2.0 | Jupyter Notebook | |||||
Python tutorials as Jupyter Notebooks for NLP, ML, AI | ||||||||||
Marvin | 83 | a year ago | gpl-3.0 | CSS | ||||||
Web app to automatically generate subjective or an objective test and evaluate user responses without any human intervention in an efficient and automatic manner using machine learning and natural language processing. |