Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models

Github: https://github.com/katiana22/GDM-PCE

Paper:
https://arxiv.org/abs/2107.09814


@ArtificialIntelligencedl
📊 QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

Github: https://github.com/mit-han-lab/pytorch-quantum

Paper:
https://arxiv.org/abs/2107.10845v1

@ArtificialIntelligencedl
Forwarded from Machinelearning
🖊 Introducing Triton: Open-Source GPU Programming for Neural Networks

https://openai.com/blog/triton/

Github: https://github.com/openai/triton

Documents: https://triton-lang.org/

@ai_machinelearning_big_data
Tab2Know: Building a Knowledge Base from Tables in Scientific Papers

Github: https://github.com/karmaresearch/tab2know

Paper:
https://arxiv.org/abs/2107.13306v1


@ArtificialIntelligencedl
Introducing droidlet, a one-stop shop for modularly building intelligent agents

Github: https://github.com/siyuhuang/TOD

Paper: https://arxiv.org/abs/2107.14153v1

@ArtificialIntelligencedl
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills

Github: https://github.com/haosulab/ManiSkill

Paper: https://arxiv.org/abs/2107.14483v1

@ArtificialIntelligencedl
👍1
☑️ CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Github: https://github.com/indyfree/CARLA

Paper: https://arxiv.org/abs/2108.00783v1

@ArtificialIntelligencedl
👁 AutoVideo: An Automated Video Action Recognition System

Github: https://github.com/datamllab/autovideo

Paper: https://arxiv.org/abs/2108.04212v1

@ArtificialIntelligencedl