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Search results for jupyter notebook decoding
decoding
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jupyter-notebook
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31 search results found
Ld Decode
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260
Software defined LaserDisc decoder
Neural_decoding
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242
A python package that includes many methods for decoding neural activity
Crypto Rnn
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133
Learning the Enigma with Recurrent Neural Networks
Cogs118c
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55
COGS118C [Neural Signal Processing] @ UCSanDiego
Constrained_decoding
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51
Lexically constrained decoding for sequence generation using Grid Beam Search
Speech To Text
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51
mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras
Nn Decoding
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40
Brain decoding/encoding with neural network language models
Replay_trajectory_classification
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36
State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
Deepq Decoding
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36
Decoders for fault tolerant quantum computation via deepQ reinforcement learning
Deepthought
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35
a library for decoding brain activity using deep learning
Minimal Nmt
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31
A minimal nmt example to serve as an seq2seq+attention reference.
Paper Encoding_decoding_electrophysiology
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28
A repository for tutorials to supplement the encoding model methods paper
Dynamic Transformer Ensembles
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27
Dynamic ensemble decoding with transformer-based models
Grcon2020 Workshop
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24
GRCon20 Workshop: Decoding Interplanetary Spacecraft
Mirostat
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19
Code for the paper-"Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm" (https://arxiv.org/abs/2007.14966).
Dd Vae
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16
Deterministic Decoding for Discrete Data in Variational Autoencoders
Decod_unseen_maintenance
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15
This repository stores all scripts to analyze MEG data from the eponymous manuscript.
Fmri_parameter Free_attention
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12
This repo includes the experiment codes and experiment results for the Skip Attention Module (SAM). The SAM is a parameter-free attention module using in fMRI decoding to increase the decoding performance, which can be able to stack on any architecture of convolutional neural network without any parameters that need to train, and does not increase any burden of training.
Eeg Analysis For Motor Imagery Application
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11
Meg Group Decode
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10
Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.
Seq2seq
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10
A implementation of seq2seq as a chatbot in Tensorflow
Fastsmc
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10
FastSMC is a method to quickly and accurately estimate pairwise identical-by-descent (IBD) regions in the genome. FastSMC estimates the age of IBD segments and scales to large biobank datasets. https://doi.org/10.1038/s41467-020-19588-x
Mvca
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10
Code for simulations and empirical analyses for the article "How to control for confounds in decoding analyses of neuroimaging data"
Bcs Mit Computational Tutorial
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8
Language Translator Rnn
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8
I built a language translator algorithm using a Sequence to Sequence model Recurrent Neural Network.
Neuropy
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6
Python package for analyzing ephys data
Caimdecoding
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5
Decoding behavior from calcium imaging data
Example Analyses
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5
Example analyses making extensive use of nelpy.
Graph Iss
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5
Graph-based Decoding for In Situ Sequencing
Konfoo
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5
A Python declarative byte stream mapping engine.
Gat_n4 P6
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5
Code for N400-P600 GAT decoding semantic anomalies in language using EEG
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1-31 of 31 search results
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