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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Import.io helps businesses scale web scraping and data extraction for real-time pricing, competitor tracking, and high-quality web data.
AI Interview Assistant for real-time support. Unlimited sessions, dual responses, and AI models.
Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
Image-to-Video Conversion: Transform static images into dynamic, realistic videos.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
Metabob is a real-time, intelligent code analysis engine that runs in parallel with generative AI coding tools.
Build and manage real-life ML, AI, and data science projects with Metaflow.
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
Global, black box optimization engine for real world metric optimization by Yelp.
An AI-powered voiceover tool that provides realistic voices for videos, podcasts, and presentations.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Web-based content-aware collaborative design tool for generating AI ads that sell real products.
Otter AI Meeting Agent supports real-time transcription, live chat, automated summaries, insights, and action items.
Simple, realtime visualization of neural network training performance.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
Create AI agents you can trust with Rasa’s, designed to scale, customize, and support real business needs across channels.
Creates or edits images with generative models and visual controls.
Creates or edits images with generative models and visual controls.
Works with speech, voice, music or other audio using machine-learning models.
Tutorial on Python time-series model deployment.