Collection of in-progress libraries for entity neural networks.

Overview

ENN Incubator

Collection of in-progress libraries for entity neural networks: Neural Network Architectures for Structured State

  • Entity Gym: Abstraction over reinforcement learning environments that represent observations as lists of structured objects.
  • ENN-PPO: PPO training loop for entity-gym environments.
  • RogueNet: Ragged batch transformer implementation that accepts variable length lists of structured objects as inputs.
  • ENN-Zoo: Collection of entity gym bindings for different environments.
  • ENN-BC: Supervised training loop on behavioral cloning datasets collected from entity-gym policies.
Owner
Libraries for neural networks that can process variable length lists of structured entities.
An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.

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Object-aware Contrastive Learning for Debiased Scene Representation

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A Partition Filter Network for Joint Entity and Relation Extraction EMNLP 2021

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Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation

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MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research

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Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

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StarGAN - Official PyTorch Implementation (CVPR 2018)

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The code succinctly shows how our ensemble learning based on deep learning CNN is used for LAM-avulsion-diagnosis.

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