18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

The fastai book, published as Jupyter Notebooks

YSDA course in Natural Language Processing

NYU Deep Learning Spring 2020

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

A Code-First Introduction to NLP course

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Machine Learning University: Accelerated Natural Language Processing Class

Data and methodology for the Big Mac index

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

A list of NLP(Natural Language Processing) tutorials

A collection of notebooks for Natural Language Processing from NLP Town

A compute framework for turning complex data into vectors. Build multimodal vectors with ease and define weights at query time so you don't need a custom reranking algorithm to optimise results. Go…

pre-trained Language Models

Advanced Machine Learning Specialization on Coursera

Python Deep Learning Projects, published by Packt

Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langc…

This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.