justinjiajia

justinjiajia

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openai-cookbook

Examples and guides for using the OpenAI API

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technical-documents

Technical documents on a variety of topics, created for the purpose of learning

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Generative-AI-with-LLMs

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

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intro-workshop

Associated files for the an introductory Weaviate online workshop

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Understanding-Deep-Learning-Book

Understanding Deep Learning - Simon J.D. Prince

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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scaling-machine-learning-course

Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machine Learning with Spark

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introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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ml-with-apache-spark

A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlow.

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Apache-Spark-in-7-Days

Apache Spark in 7 Days [Video], by Packt Publishing

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Dash-by-Plotly

Interactive data analytics

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cs224u

Code for Stanford CS224u

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Made-With-ML

Learn how to responsibly deliver value with ML.

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machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

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coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

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loss-landscape

Code for visualizing the loss landscape of neural nets

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