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https://github.com/google-deepmind/deepmind-research.git
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Louise Deason
37 lines
1.7 KiB
Markdown
37 lines
1.7 KiB
Markdown
# DeepMind Research
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This repository contains implementations and illustrative code to accompany
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DeepMind publications. Along with publishing papers to accompany research
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conducted at DeepMind, we release open-source
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[environments](https://deepmind.com/research/open-source/open-source-environments/),
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[data sets](https://deepmind.com/research/open-source/open-source-datasets/),
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and [code](https://deepmind.com/research/open-source/open-source-code/) to
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enable the broader research community to engage with our work and build upon it,
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with the ultimate goal of accelerating scientific progress to benefit society.
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For example, you can build on our implementations of the
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[Deep Q-Network](https://github.com/deepmind/dqn) or
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[Differential Neural Computer](https://github.com/deepmind/dnc), or experiment
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in the same environments we use for our research, such as
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[DeepMind Lab](https://github.com/deepmind/lab) or
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[StarCraft II](https://github.com/deepmind/pysc2).
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If you enjoy building tools, environments, software libraries, and other
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infrastructure of the kind listed below, you can view open positions to work in
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related areas on our [careers page](https://deepmind.com/careers/).
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For a full list of our publications, please see
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https://deepmind.com/research/publications/
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## Projects
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* [Side Effects Penalties](side_effects_penalties)
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* [PrediNet Architecture and Relations Game Datasets](PrediNet)
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* [Unsupervised Adversarial Training](unsupervised_adversarial_training)
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* [Graph Matching Networks for Learning the Similarity of Graph Structured
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Objects](graph_matching_networks), ICML 2019
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* [REGAL: Transfer Learning for Fast Optimization of Computation Graphs](regal)
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## Disclaimer
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*This is not an official Google product.*
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