Corey Abshire's Projects
the AI-native open-source embedding database
Kubernetes community content
1082 - Designing Applications for Kubernetes, Will Boyd
Lab repository for Github Actions Deep Dive (1074)
Lesson repository for Github Actions Deep Dive (1074)
Resources for Data Centric AI
Databricks GPU Model Serving Example Scripts
Python script to clone SQL dashboard from one workspace to another
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
DSPy: The framework for programming—not prompting—foundation models
The Model Zoo of Knowledge Tracing Models
Enabling meticulous logging for your Spark Applications
Code behind blog post deploying Graph Neural Networks (GNNs) for Monitoring Supply Chain Risk
Create UIs for your machine learning model in Python in 3 minutes
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Scalable Graph Neural Networks with Deep Graph Library
Standardized Serverless ML Inference Platform on Kubernetes
⚡ Building applications with LLMs through composability ⚡
Notebooks for Large Language Models (LLMs) Specialization