soumyadip1995/NLP
🎓📲 Curriculum to Learn Natural Language Processing. Prerequisites in Python, Deep Learning, Linear Algebra, Probability and Calculus is Needed. A compilation of resources.
This project offers a structured curriculum for learning Natural Language Processing, guiding you through essential concepts and practical applications. It provides a curated list of videos, articles, and assignments covering topics from text preprocessing to advanced deep learning models. This resource is for anyone with a background in Python, deep learning, and mathematics who wants to develop skills in NLP.
No commits in the last 6 months.
Use this if you are an aspiring NLP engineer, data scientist, or researcher looking for a self-paced, comprehensive learning path to master Natural Language Processing.
Not ideal if you are a non-technical user seeking a ready-to-use NLP tool or if you do not have a strong foundation in Python, deep learning, and related mathematical concepts.
Stars
14
Forks
2
Language
—
License
MIT
Category
Last pushed
Jul 25, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/soumyadip1995/NLP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
RingBDStack/SocialED
A python library for social event detection
mesolitica/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
astorfi/Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing
rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including...
DSKSD/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)