A very simple framework for state-of-the-art Natural Language Processing (NLP)

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Rust bindings for the C++ api of PyTorch.

Automatic extraction of relevant features from time series:

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…

Digital Buildings (ontology and SDK) currently being used by Google internally to manage our own buildings.

Python package for working with Brick (brickschema.org/)

Uniform metadata schema for buildings

Topic Modelling for Humans

Get annotation suggestions for the INCEpTION text annotation platform from spaCy, Sentence BERT, scikit-learn and more. Runs as a web-service compatible with the external recommender API of INCEpTI…

Bindings to copy of SentencePiece esaxx library (fast suffix array and frequent substrings).

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Inducing enhanced suffix arrays for string collections [DCC'16, TCS 2017]

Cycling Performance Software for Linux, Mac OS X, and Windows