tensorflow.org · ML Frameworks
Google's end to end machine learning platform, still widely deployed in production and on mobile via LiteRT.
TensorFlow is one of 20 ML framework tools on Axiomi. See all ML framework tools or how we check facts.
// guides
How to use TensorFlow in Jupyter Notebook: install it in a venv, register the kernel with ipykernel, pick it in JupyterLab or VS Code, and fix common errors.
The best ML frameworks for Python in 2026, ranked by job: PyTorch, scikit-learn, JAX, Keras 3, XGBoost, LightGBM, TensorFlow, MLX and more, with versions.
How to use TensorFlow in Python in 2026: install it in a venv, work with tensors and gradients, train a Keras model, feed data with tf.data and save it.
How to use TensorFlow with GPU in 2026: the pip [and-cuda] install on Linux and WSL2, Docker, Mac Metal, how to verify the GPU, and fixes for common errors.
TensorFlow vs PyTorch vs Keras in 2026: Keras 3 multibackend, which is easier to learn, open weight LLM ecosystem fit, and who should pick each stack.
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Ollamaollama.comOpen source local model runner with a one line pull and run CLI, a desktop app and a local HTTP API. Uses llama.cpp-based and MLX engines; optional paid cloud models.ML FrameworksFreemium★ 185.1k