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Search results for deep learning variants
deep-learning
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variants
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1 search results found
Deepvariant
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2,978
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Pywick
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361
High-level batteries-included neural network training library for Pytorch
Gan_review
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304
A Survey and Taxonomy of the Recent GANs Development,computer vision & time series
Linear Attention Transformer
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278
Transformer based on a variant of attention that is linear complexity in respect to sequence length
Crazyara
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217
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
Softmax_variants
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165
PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
Clairvoyante
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142
Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing
Tensorflow Cpp
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97
Pre-built TensorFlow for C/C++ and CMake.
Clair
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74
Clair: Exploring the limit of using deep neural network on pileup data for germline variant calling
Mirnet
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60
Tensorflow implementation of MIRNet for Low-light image enhancement
Skyhawk
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29
An Artificial Neural Network-based discriminator for validating clinically significant genomic variants
Clairs To
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18
ClairS-TO - a deep-learning method for tumor-only somatic SNV calling
Scasnet
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17
Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)
Variants Of Rmsprop And Adagrad
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13
SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in
Jarvis
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9
JARVIS: a comprehensive deep learning framework to prioritise non-coding variants in whole genomes
Referentialgym
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9
This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial languages using deep learning, relying on PyTorch (https://www.pytorch.org).
Convolutional Embedded Networks
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7
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
Snp Deep Learning
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7
Deep Q Learning
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7
An implementation of Q algorithm and its deep variant for Reinforcement Learning purposes.
Memory Transformer Xl
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6
A variant of Transformer-XL where the memory is updated not with a queue, but with attention
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