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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
📡 Simple and ready-to-use tutorials for TensorFlow
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Reference models and tools for Cloud TPUs.
Models and examples built with Swift for TensorFlow
Swift for TensorFlow's high-level API, modeled after fastai
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Minimal Swift for TensorFlow OpenCV bindings