Compare the Top AI Tools that integrate with PyTorch as of July 2025

This a list of AI Tools that integrate with PyTorch. Use the filters on the left to add additional filters for products that have integrations with PyTorch. View the products that work with PyTorch in the table below.

What are AI Tools for PyTorch?

AI tools are software tools that utilize artificial intelligence to perform a variety of functions. They can be used to automate tasks, provide data-driven insights, and help streamline processes. AI tools can be applied across many different industries and applications, from healthcare to finance. By leveraging the power of machine learning and natural language processing, AI tools can help improve the efficiency of existing operations. Compare and read user reviews of the best AI Tools for PyTorch currently available using the table below. This list is updated regularly.

  • 1
    FakeYou

    FakeYou

    FakeYou

    Use FakeYou deep fake technology to say things with your favorite characters. We're building FakeYou as just one component of a broad set of production and creative tooling. Your brain was already capable of imagining things spoken in other people's voices. This is a demonstration of how far computers have caught up. One day computers will be able to bring all of the rich and vivid imagery of your hopes and dreams to life. There's never been a better time throughout all of history to be creative than now. The technology to clone voices is already out in the open, and the voices here are built by a community of contributors. We're not the only website doing this, and plenty of people are producing these same results on their own at home, independent of our work. You can see thousands of examples on YouTube and social media. If you're a voice actor or musician, we're looking to hire talented performers to help us build commercial-friendly AI voices.
    Starting Price: $7 per month
  • 2
    PostgresML

    PostgresML

    PostgresML

    PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.
    Starting Price: $.60 per hour
  • 3
    SuperDuperDB

    SuperDuperDB

    SuperDuperDB

    Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, and HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Deploy all your AI models to automatically compute outputs (inference) in your datastore in a single environment with simple Python commands.
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