RakeshAduri
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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.
Shared repository for open-sourced projects from the Google AI Language team.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YSDA course in Natural Language Processing
Natural Language Processing Best Practices & Examples
Natural Language Processing Tutorial for Deep Learning Researchers
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A resource for learning about Machine learning & Deep Learning
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python Data Science Handbook: full text in Jupyter Notebooks
PyTorch Tutorial for Deep Learning Researchers
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
📚 Freely available programming books
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…
Guides focused on fundamental computer science concepts
https://huyenchip.com/ml-interviews-book/
🎓 Sharing machine learning course / lecture notes.
All Algorithms implemented in Python
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep