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Discover 8 open source projects
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d2l-ai/d2l-en
Interactive deep learning book with code and math
ddbourgin/numpy-ml
A comprehensive machine learning library in Python with implementations of various algorithms and models.
bayesian-optimization/BayesianOptimization
A Python library for global optimization using Gaussian processes, useful for AI/ML developers.
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch for GPU-accelerated machine learning.
google/neural-tangents
Neural Tangents is a Python library for fast and easy infinite neural networks using JAX.
krasserm/bayesian-machine-learning
This repository provides Jupyter notebooks for learning about Bayesian methods for machine learning.
GPflow/GPflow
GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.
automl/SMAC3
SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.
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