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A collection of guides and examples for the Gemma open models from Google.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by i…
Open-source observability for your LLM application, based on OpenTelemetry
This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
VoiceGPT is a voice assistant that leverages the powerful ChatGPT chatbot to answer your questions.
Visual Inspection AI Edge solution infrastructure provisioning scripts
LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
Building two tower models with Spotify data in GCP
The PyTorch-based audio source separation toolkit for researchers
Code samples for Anthos Config Management
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Dataproc templates and pipelines for solving simple in-cloud data tasks
Google Cloud CLI Docker Image - Docker Image containing the gcloud CLI and its bundled components.
Cloud-native, data onboarding architecture for Google Cloud Datasets
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Tensors and Dynamic neural networks in Python with strong GPU acceleration