Stars
Open-source orchestration for zero-human companies
Machine Learning Engineering Open Book
Perplexity open source garden for inference technology
The Agentic Commerce Protocol (ACP) is an interaction model and open standard for connecting buyers, their AI agents, and businesses to complete purchases seamlessly. The specification is currently…
a platform for monitoring the chip situation
A high-throughput and memory-efficient inference and serving engine for LLMs
Achieve state of the art inference performance with modern accelerators on Kubernetes
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
Generative AI on AWS
Extremely fast Query Engine for DataFrames, written in Rust
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
AWS SaaS Boost is a ready-to-use toolset that removes the complexity of successfully running SaaS workloads in the AWS cloud.
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security,…
Turbine: the bare metals that gets you Airflow
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…
A library for training and deploying machine learning models on Amazon SageMaker
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Google's differential privacy libraries.