Best FastML Alternatives in 2024
-
ML is difficult, so is finetuning. But what if you could get your text-to-image model, or your LLM finetuned in no time? FinetuneFast is the ML model boilerplate to finetune and ship AI models and SaaS in production.
-
No More Hassle or Vendor Lock-In. ZenML integrates the entire ML workflow with a simple and accessible framework and dashboard.
-
DeployFast simplifies ML setup and deployment. With ready-to-use APIs, custom endpoints, and Streamlit integration, save time and impress clients.
-
Build better models and generative AI apps on a unified, end-to-end,open source MLOps platform
-
Deploy any ML model with 1-click, anywhere, complete with retraining functionality, observability, and autoscaling.
-
PoplarML enables the deployment of production-ready, scalable ML systems with minimal engineering effort.
-
Deploy and monitor ML models with ease using BentoML. Enjoy real-time monitoring, Kubernetes integration, resource optimization, and community support.
-
ClearML: Streamline workflows, enhance productivity, and improve marketplace safety with this powerful machine learning platform. Try it now!
-
Supercharge your data to AI journey with MarkovML. Analyze text-based datasets, build interactive AI apps, and create automated workflows. Book a demo today!
-
MosaicML: Train large AI models at scale with ease. Simplify model training, ensure data privacy, and seamlessly integrate with existing tools.
-
VoltaML Advanced Stable Diffusion WebUI，Easy to use, yet feature-rich WebUI with easy installation. By community, for community.
-
Lowest cold-starts to deploy any machine learning model in production stress-free. Scale from single user to billions and only pay when they use.
-
Accelerate model training by over 100 times with Perpetual ML. Say goodbye to long waits and hello to rapid innovation. Try it now!
-
BigML: Empower your business with data-driven decision-making. Develop, train, and deploy ML models effortlessly with our comprehensive platform.
-
Train, customize & deploy AI chatbots effortlessly with HappyML. No coding needed. Boost productivity with user-friendly interface & secure data handling.
-
The Python boilerplate with everything necessary to build and monetize your own AI Telegram bot. This plug-and-play solution is easy to customize, letting you effortlessly tailor it to your specific needs.
-
Empowering ML teams with lightning-fast, reliable, and scalable LLMOps & MLOps for cost savings and accelerated model training and deployment.
-
GoML specializes in Generative AI solutions, collaborating with major players like AWS, Google, Microsoft, and OpenAI.
-
Simplify code execution in the cloud with Modal's AI tool. Enjoy easy code execution, containerized compute, and hassle-free infrastructure management.
-
Supercharge your AI projects with DeepSpeed - the easy-to-use and powerful deep learning optimization software suite by Microsoft. Achieve unprecedented scale, speed, and efficiency in training and inference. Learn more about Microsoft's AI at Scale initiative here.
-
Integrate and orchestrate multiple data sources in a single, unified API. Connect any data flow and create hundreds of app integrations. Accelerate development and speed time to market. Compose anything. Connect everything.
-
Simple ML for Sheets is an add-on for Google Sheets™ from the TensorFlow™ Decision Forests team that helps make machine learning accessible to all.
-
BOMML offers a streamlined AI hosting platform, designed to simplify the deployment of various AI models for diverse scenarios.
-
Run the top AI models using a simple API, pay per use. Low cost, scalable and production ready infrastructure.
-
Fleak is a low-code serverless API Builder for data teams that requires no infrastructure and allows you to instantly embed API endpoints to your existing modern AI & Data tech stack.
-
AI data analyst tool designed to streamline your data visualization and analysis tasks. It automates repetitive and time-consuming data work, allowing you to generate precise and sleek graphs in seconds.
-
Privately tune and deploy open models using reinforcement learning to achieve frontier performance.
-
Leverage machine learning models with ease using StackML, a user-friendly web platform. No coding needed. Access pre-trained models and train in-browser.
-
Discover the power of TensorFlow - an open-source machine learning platform with versatile tools, extensive libraries, and a supportive community. Build and deploy machine learning models for image recognition, natural language processing, and predictive analytics.
-
Discover peak efficiency in LLM pipeline management with Superpipe. Streamline training, testing, and deployment for optimal accuracy and cost-effectiveness.