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WebBookingPro
WebBookingPro offers an integrated PMS, Channel Manager, Booking Engine, and Revenue Manager for hotels, with no fees or commissions for Google reservations.
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Tensorflow
TensorFlow is an open-source machine learning platform that allows users to create, train, and deploy machine learning models for a wide range of applications and skill levels.
FEATURES
- 🌟 TensorFlow’s end-to-end machine learning platform: TensorFlow offers an end-to-end machine learning platform that accelerates tasks at every stage of the workflow, from research to production
USE CASES
- 💻 Create ML models: TensorFlow allows you to create production-grade machine learning models, either by using pre-trained models or by training your own. It offers solutions for every skill level, from research to production, and can be used to solve real-world problems with ML.
- 🚀 Accelerate ML tasks: TensorFlow provides solutions to accelerate machine learning tasks at every stage of your workflow. You can find state-of-the-art models to use in your research, build your own models, and deploy them anywhere, at any scale, whether it’s on the web, mobile and edge, or servers.
- 🤝 Join the community: TensorFlow has an active global community of ML practitioners and students that you can connect, learn, and collaborate with. You can learn from experts, skill up on new types of models and applications, and unlock insights about TensorFlow. You can also work with an open source TensorFlow machine learning community to start building together.
- 🎧 Design extendable offline simulator: Spotify uses the TensorFlow ecosystem to design an extendable offline simulator and train RL Agents to generate playlists. This is an example of how you can use TensorFlow to solve real-world problems with ML.
- 📈 Optimize LLMs: You can learn how to optimize LLMs and deploy them with TensorFlow Lite for generative AI applications. TensorFlow Lite is a lightweight solution for mobile and embedded devices that allows you to run machine learning models locally on your device.
ADDITIONAL INFO
Release
2015
Location
USA
Employees
5001 - 10000
Annual Rev
5M - 10M
Platforms
Laptop, Code
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