github.com
Create customizable UI components around your models.
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github.com
Platform for deploying your Machine Learning to production.
github.com
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
lunary.ai
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
github.com
Version and deploy your ML models following GitOps principles.
github.com
Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
msty.ai
Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.
github.com
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
github.com
Turns your ML code into microservices with web API, interactive GUI, and more.
portkey.ai
Democratize and productionize Gen AI across your entire org with Portkey.
promptlayer.com
Prompt Engineering platform. Collaborate, test, evaluate, and monitor your LLM applications.
github.com
The open source solution for monitoring your AI models in production.
github.com
Lets you create apps for your ML projects with deceptively simple Python scripts.
truss.baseten.co
Package, configure, and iterate on a model with Truss at whatever level of control your model needs.
github.com
Build and control your personal LLMs with fast and efficient fine-tuning.
e2b.dev
Deployed in few seconds via e2b supports software development with code generation, analysis, debugging, or documentation.
github.com
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
github.com
A hands-on course to train and deploy a serverless API that predicts crypto prices.
github.com
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
kubeflow.org
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.
minimaxi.com
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
github.com
An Easy-to-Use and High-Performance AI deployment framework.
github.com
Tutorial on Python time-series model deployment.
github.com
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.