David Waterworth's repositories
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Brick
Uniform metadata schema for buildings
building-data-genome-project-2
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
catboost
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 computation on CPU and GPU.
digitalbuildings
Digital Buildings (ontology and SDK) currently being used by Google internally to manage our own buildings.
esaxx-rs
Bindings to copy of SentencePiece esaxx library (fast suffix array and frequent substrings).
gensim
Topic Modelling for Humans
GoldenCheetah
Cycling Performance Software for Linux, Mac OS X, and Windows
gsa-is
Inducing enhanced suffix arrays for string collections [DCC'16, TCS 2017]
inception-external-recommender
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 INCEpTION.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
machine-learning
ML docker image with jupyter, tensorflow-gpu, sklearn etc
py-brickschema
Python package for working with Brick (brickschema.org/)
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
quartznet-admin
Automatically exported from code.google.com/p/quartznet-admin
tch-rs
Rust bindings for the C++ api of PyTorch.
tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
tsfresh
Automatic extraction of relevant features from time series: