A Principled Approach to Accelerating Graph Neural Network Training.
graph-neural-networks graphnorm arxiv:2009.03294 code
TensorFlow Recommenders
An open-source TensorFlow package that makes building, evaluating, and serving sophisticated recommender models easy.
recommendation-systems tensorflow article code
TF Geometric
Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x.
graph-neural-networks graph-convolutional-networks tensorflow code
Numpy Tricks and A Strong Baseline for Vector Index
Tricks used to improve the index and query speed by 1.6x and 2.8x while keeping the memory footprint constant.
search vector-index numpy memmap
Different deep learning architectures definitions that can be applied to image segmentation.
semantic-segmentation instance-segmentation salient-object-detection segmentation
GitHub Actions for Machine Learning
This presentation discusses the use of GitHub Actions to automate certain steps of a toy ML project.
github mlops scikit-learn wandb
Distributed SQL with Dask
Scale your Python data science across multiple GPUs with BlazingSQL (w/ code + data)
blazingsql dask gpu sql
Simple and fast symbolic regression in Python/Julia via regularized evolution and simulated annealing.
regression symbolic-regression python julia
Interactive Analysis of Sentence Embeddings
Learn how to interactively explore sentence embedding and labels in Tensorflow Embedding Projector.
natural-language-processing tensorflow-js contextualized-embeddings embeddings
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