Mikiko Bazeley (MMBazel)

MMBazel

Geek Repo

Company:@featureform

Location:San Francisco

Home Page:bio.link/mikikobazeley

Twitter:@BazeleyMikiko

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Mikiko Bazeley's starred repositories

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Language:PythonLicense:NOASSERTIONStargazers:265220Issues:6613Issues:293

the-algorithm

Source code for Twitter's Recommendation Algorithm

Language:ScalaLicense:AGPL-3.0Stargazers:61788Issues:373Issues:965

generative-ai-for-beginners

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

Language:Jupyter NotebookLicense:MITStargazers:57407Issues:489Issues:98

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:34683Issues:359Issues:65

fastbook

The fastai book, published as Jupyter Notebooks

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:21257Issues:505Issues:235

a-picture-is-worth-a-1000-words

I am trying to describe complex matters in simple doodles!

mlops-zoomcamp

Free MLOps course from DataTalks.Club

Language:Jupyter NotebookStargazers:10752Issues:180Issues:92

DevOps-Roadmap

DevOps Roadmap for 2024. with learning resources

ml-engineering

Machine Learning Engineering Open Book

Language:PythonLicense:CC-BY-SA-4.0Stargazers:10293Issues:107Issues:18

laptop

A shell script to set up a macOS laptop for web and mobile development.

Language:ShellLicense:MITStargazers:8490Issues:238Issues:248

BentoML

The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!

Language:PythonLicense:Apache-2.0Stargazers:6830Issues:77Issues:1049

chainlit

Build Conversational AI in minutes ⚑️

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curriculum

πŸ“šOpen Source Curriculum for CNCF Certification Courses

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

llama-hub

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

Language:Jupyter NotebookLicense:MITStargazers:3428Issues:46Issues:212

ML-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Language:Jupyter NotebookLicense:MITStargazers:3194Issues:133Issues:8

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

you-dont-need-a-bigger-boat

An end-to-end implementation of intent prediction with Metaflow and other cool tools

Language:PythonLicense:MITStargazers:835Issues:20Issues:4

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:775Issues:30Issues:15

Getting-Started-with-Generative-AI

A curated list of articles and tutorials to start with and understand generative AI

LLM-Ops-Cohort-1

Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn all about the key technologies that enable Generative AI practitioners like you to leverage tools like LangChain, LLamaIndex, and more, to build complex LLM applications.

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OM-Welcome-Package

Everything you need to know to contribute to OpenMined!

post-modern-stack

Joining the modern data stack with the modern ML stack

Language:PythonLicense:MITStargazers:186Issues:2Issues:1

zenbytes

A simple guide to MLOps through ZenML and its various integrations.

Language:Jupyter NotebookStargazers:180Issues:4Issues:1

mise

public mise ( http://en.wikipedia.org/wiki/Mise_en_place )

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treasuretree

A real-world treasure hunt game where the treasures are represented as QR codes in the physical world, and NFTs in the virtual.

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