Popular GitHub Repositories for Terraform Gcp

Build, Manage and Deploy AI/ML Systems

Artificial Intelligence Infrastructure-as-Code Generator.

A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying GenAI agents.

dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators.

Machine Learning Platform and Recommendation Engine built on Kubernetes

LLMs for your CLI

Hopsworks - Data-Intensive AI platform with a Feature Store

Introducing DeToxify – the ultimate toxicity buster. Armed with NLP superpowers, it sniffs out harmful comments, neutralizes negativity, and rewrites toxicity into pure class. Think of it as Jarvis for your online spaces—making the internet a kinder, smarter place, one comment at a time.

Distribute and run AI workloads magically in Python, like PyTorch for ML infra.

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SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

The open-source policy-as-code software that provides analysis for Multi-Cloud and SaaS environments, you can get insight with natural language (powered by OpenAI).

Everything you want to know about Google Cloud TPU

Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

MLOps tutorial using Python, Docker and Kubernetes.

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

Your Engineering Gen AI Team member ???

The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.