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Machine learning, in numpy
machine-learning neural-networks topic-modeling gaussian-mixture-models hidden-markov-models gradient-boosting bayesian-inference wavenet vae resnet lstm wgan-gp attention reinforcement-learning good-turing-smoothing knn mfcc gaussian-processes word2vec
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README.md

numpy-ml

Ever wish you had an inefficient but somewhat legible collection of machine learning algorithms implemented exclusively in numpy? No?

Documentation

To see all of the available models, take a look at the project documentation or see here.

Contributing

Am I missing your favorite model? Is there something that could be cleaner / less confusing? Did I mess something up? Submit a PR! The only requirement is that your models are written with just the Python standard library and NumPy. The SciPy library is also permitted under special circumstances ;)

See full contributing guidelines here.

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