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Search results for jupyter notebook neural architecture search
jupyter-notebook
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neural-architecture-search
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12 search results found
Adanet
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3,309
Fast and flexible AutoML with learning guarantees.
Litmatter
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55
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
Dun
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52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Bristol
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30
Parallel random matrix tools and complexity for deep learning
E2eaiok
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30
Intel® End-to-End AI Optimization Kit
Cerebros Core Algorithm Alpha
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26
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
Weaknas
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18
[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan
Rnn_darts_fastai
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17
Implement Differentiable Architecture Search (DARTS) for RNN with fastai
Cvpr2022 Nas Competition Track1 3th Solution
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17
Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23
Ozone Narx Dnn
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12
Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation
Argnp
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9
Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)
Arch_uncert
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6
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
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