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Databricks framework to validate Data Quality of pySpark DataFrames and Tables
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
llama3 implementation one matrix multiplication at a time
📚 Learn to write an embedded OS in Rust 🦀
Open, Multi-modal Catalog for Data & AI
This is a Databricks Cybersecurity demo for building linked detection, investigation and response jobs in Databricks
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, P…
A curated list of resources about detecting threats and defending Kubernetes systems.
An incremental parsing system for programming tools
A native Rust library for Delta Lake, with bindings into Python
Terraform provider for Azure Resource Manager
Databricks Terraform Provider
A cluster computing framework for processing large-scale geospatial data
GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.
Send code blocks (Python, SQL, Scala, R) to a Databricks cluster
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Concurrent Radix and Suffix Trees for Java
A List of Recommender Systems and Resources
Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
Logback appender for Apache Kafka
Companion webpage to the book "Mathematics For Machine Learning"
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
Practical Gremlin - An Apache TinkerPop Tutorial
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)
PlantUML sprites, macros, and other includes for AWS components.