Deriving Neural Architectures from Sequence and Graph Kernels
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Nov 22, 2017 - Python
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neural-architectures
Here are 8 public repositories matching this topic...
Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
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Jan 11, 2023 - C++
[Neurips 2022] "Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis" by Wuyang Chen*, Wei Huang*, Xinyu Gong, Boris Hanin, Zhangyang Wang
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Oct 11, 2022 - Python
TorchArc: Build PyTorch networks by specifying architectures.
deep-learning
neural-network
pytorch
dag
neural-architectures
neural-network-architectures
perceiver
perceiverio
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Sep 28, 2023 - Python
Course lectures including accompany Azure Notebooks for "Hands-on Data Science on Microsoft Azure"
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Jun 24, 2020 - Jupyter Notebook
HooHacks 2020 - Data Science Track. Powerful neural network visualization and code generation tool, written in React.
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Apr 23, 2024 - JavaScript
Final Project about optimizing NN with Bayesian Optimization for Bayesian Methods in ML course in Washington University
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May 3, 2018 - Python
A training method for neural networks that dynamically adjust the size of layers.
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Mar 7, 2023 - Python
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