The fastai deep learning library

Jupyter Interactive Notebook

Using Low-rank adaptation to quickly fine-tune diffusion models.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Probabilistic reasoning and statistical analysis in TensorFlow

Fast and flexible AutoML with learning guarantees.

A high performance implementation of HDBSCAN clustering.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

InferSent sentence embeddings

subpixel: A subpixel convnet for super resolution with Tensorflow

Python library for interactive topic model visualization. Port of the R LDAvis package.

Tutorials and implementations for "Self-normalizing networks"

Demonstrations of Magenta Models

Multilingual word vectors in 78 languages

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

Implementation of various topic models

Sparse Variational Dropout, ICML 2017

Word to Gaussian Mixture Model

Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

Implementation of the Sliced Wasserstein Autoencoders