TensorFlow - Alternatives & Competitors

Ranked by Relevance

• 1
  TFLearn Deep learning library featuring a higher-level API for TensorFlow

  TFLearn is a modular and transparent deep learning library built on top of Tensorflow, designed to provide a higher-level API to facilitate and speed-up experimentations.

  • Free
• 2
  MLflow ML and GenAI made simple

  MLflow is an open-source, end-to-end MLOps platform for building better models and generative AI apps. It simplifies complex ML and generative AI projects, offering comprehensive management from development to production.

  • Free
• 3
  Keras Simple. Flexible. Powerful.

  Keras is a deep learning API, designed for human beings, that provides a clear and consistent way to build and deploy machine learning models. It offers cross-framework compatibility with JAX, TensorFlow, and PyTorch.

  • Free
• 4
  EnergeticAI Use open-source AI in your Node.js apps, up to 67x faster

  EnergeticAI is an optimized version of TensorFlow.js designed for serverless environments, offering fast cold-start times, minimal module size, and pre-trained models for Node.js applications.

  • Free
• 5
  Metaflow A Framework for Real-Life ML, AI, and Data Science

  Metaflow is an open-source framework that simplifies the building and management of machine learning, AI, and data science projects. It provides tools for versioning, orchestration, and scaling compute resources.

  • Free
• 6
  GGML AI at the Edge

  GGML is a tensor library for machine learning, enabling large models and high performance on commodity hardware. It's designed for efficient on-device inference.

  • Free
• 7
  Hugging Face The AI community building the future.

  Hugging Face is a collaboration platform where the machine learning community creates, discovers, and collaborates on models, datasets, and applications. It offers comprehensive tools for hosting, developing, and deploying machine learning solutions.

  • Freemium
  • From 9$
• 8
  Neuralhub Design Deep Neural Networks in a Collaborative Playground

  Neuralhub is a comprehensive platform for building, tuning, and experimenting with neural networks, offering tools and resources for AI enthusiasts, researchers, and engineers in a collaborative environment.

  • Freemium
• 9
  Apache TVM An End to End Machine Learning Compiler Framework for CPUs, GPUs and accelerators

  Apache TVM is an open-source machine learning compiler framework designed to optimize and efficiently run computations on various hardware backends, including CPUs, GPUs, and accelerators.

  • Free
• 10
  BentoML Unified Inference Platform for any model, on any cloud

  BentoML is a unified inference platform for building scalable AI systems. Deploy any AI/ML model in your cloud with speed and flexibility.

  • Usage Based