kevgeo

mkdocs-material

Documentation that simply works

network

jax-tpu-quickstart

skypilot

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

clinicalBERT

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

LlamaEdge

The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge

truss

The simplest way to serve AI/ML models in production

new-york-real-estate

logging

MLPerf™ logging library

model-retraining-gitops-fastapi

the full pipeline for model retraining with fastapi and github actions

duckdb

DuckDB is an analytical in-process SQL database management system

LLM101n

LLM101n: Let's build a Storyteller

API

Documentation and Samples for the Official HN API

aws-enterprise-mlops-framework

grokking-the-object-oriented-design-interview

tokenization

A comprehensive deep dive into the world of tokens

mlops-coding-course

Learn how to create, develop, and maintain a state-of-the-art MLOps code base

Jasper

Domain expert question answering machine for Jax/Flax using RAG

modlee

modlee client

hopsworks-tutorials

Tutorials for the Hopsworks Platform

nba-prediction

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

pycon2024

Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024

face-recognition

Scalable ML pipeline for face recognition with automatic retraining.

ID2223Project

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.

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

siglens

100x Efficient Log Management than Splunk :rocket: Reduce your observability cost by 90%

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

ray_beam_runner

Ray-based Apache Beam runner