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Bump tensorflow from 2.9.3 to 2.11.1 in /images

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.9.3 to 2.11.1.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
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updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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Bump tensorflow from 2.9.3 to 2.11.1 in /images

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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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.pre-commit-config.yaml

Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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COPYING

Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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LICENSE.torchrec

Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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model.py

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pyproject.toml

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README.md

Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings

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README.md

This project open sources some of the ML models used at Twitter.

Currently these are:

The "For You" Heavy Ranker (projects/home/recap).
TwHIN embeddings (projects/twhin) https://arxiv.org/abs/2202.05387

This project can be run inside a python virtualenv. We have only tried this on Linux machines and because we use torchrec it works best with an Nvidia GPU. To setup run

./images/init_venv.sh (Linux only).

The READMEs of each project contain instructions about how to run each project.