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deep-learning-architectures

Here are 12 public repositories matching this topic...

mead-ml / mead-baseline

Deep-Learning Model Exploration and Development for NLP

nlp machine-learning deep-learning tensorflow keras transformers pytorch recurrent-neural-networks classification experimentation seq2seq baseline convolutional-neural-networks language-model hacktoberfest bert visdom deep-learning-architectures nlp-tasks

Updated Oct 13, 2023
Python

gmh14 / RobNets

[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

robustness neural-architecture-search adversarial-examples deep-learning-architectures adversarial-attacks

Updated Oct 21, 2020
Python

basiralab / GSR-Net

Graph SuperResolution Network using geometric deep learning.

data-generation brain-connectivity generative-models u-net deep-learning-architectures predictive-learning geometric-deep-learning network-neuroscience brain-graphs graph-superresolution gsr-net resolution-connectomes predictive-intelligence

Updated Jan 25, 2021
Python

mike-gimelfarb / cascade-correlation-neural-networks

A general framework for cascade correlation architectures in Python with wrappers to keras, tensorflow and sklearn

python machine-learning deep-neural-networks deep-learning neural-network tensorflow keras neural-networks deep-learning-algorithms deep-learning-architectures deep-learning-models network-architectures cascade-correlation growing-network

Updated Jul 7, 2021
Python

nutellamok / advrush

Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21)

deep-learning pytorch nas robustness neural-architecture-search adversarial-examples deep-learning-architectures adversarial-attacks

Updated Dec 27, 2021
Python

vishal-keshav / xcelerator

Exploring RL ideas for deep neural network hyper-parameter search

deep-neural-networks optimization pruning policy-evaluation meta-learning deep-learning-architectures

Updated Dec 25, 2018
Python

yskim0 / pytorch-cifar10

Implementing and training/testing popular model architectures on the CIFAR10 dataset.

deep-learning pytorch deep-learning-algorithms alexnet cifar10 cifar-10 deep-learning-architectures pytorch-implementation zfnet model-architectures

Updated Jan 5, 2021
Python

HasibAlMuzdadid / Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who is eager to learn this amazing tech!

deep-learning deep-learning-algorithms deep-learning-papers deep-learning-architectures deep-learning-models

Updated May 8, 2022
Python

jmaczan / deep-learning-pytorch

Deep Learning architectures implemented in PyTorch Lightning

machine-learning deep-learning cnn pytorch artificial-intelligence deep-learning-algorithms lenet educational alexnet deep-learning-architectures pytorch-lightning

Updated Jun 23, 2024
Python

MLD3 / MLHC2019_Relaxed_Parameter_Sharing

Code release for "Relaxed Weight Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series" (Oh, Wang, Tang, Sjoding, Wiens), MLHC 2019. https://arxiv.org/abs/1906.02898

healthcare time-series-analysis time-varying deep-learning-architectures mlhc-2019

Updated Feb 6, 2021
Python

MLD3 / MLHC2018_SequenceTransformerNetworks

Code release for "Learning to Exploit Invariances in Clinical Time-Series Data Using Sequence Transformer Networks" (Oh, Wang, Wiens), MLHC 2018. https://arxiv.org/abs/1808.06725

healthcare time-series-analysis deep-learning-architectures mlhc-2018

Updated Feb 10, 2021
Python

Aayush-Ankit / ece595z-design-automation

hyperparameter-optimization design-automation deep-learning-architectures

Updated May 5, 2017
Python

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