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Tags: Machine learning
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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  • nlp
  • pre-trained-model
  • unilm
  • minilm

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  • scaled-yolov4
  • yolor
  • yolov3
  • yolov4

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Phoebus is a distributed framework for large scale graph processing written in Erlang.

CEED Library: Code for Efficient Extensible Discretizations

  • ceed
  • high-order
  • exascale-computing
  • api

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

  • fairness
  • fairness-ml
  • fairness-ai
  • linkedin