Telluride_decoding
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Mtrf Toolbox | 63 | 4 months ago | 13 | bsd-3-clause | MATLAB | |||||
| A MATLAB Package for Relating Neural Signals to Continuous Stimuli | ||||||||||
| Mocha Pytorch | 40 | 6 years ago | 4 | Python | ||||||
| PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018) | ||||||||||
| Minimal Nmt | 31 | 5 years ago | mit | Jupyter Notebook | ||||||
| A minimal nmt example to serve as an seq2seq+attention reference. | ||||||||||
| Mutual Information For Neural Machine Translation | 14 | 8 years ago | Matlab | |||||||
| Fmri_parameter Free_attention | 12 | 2 years ago | Jupyter Notebook | |||||||
| 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. | ||||||||||
| Pytorch Seq2seq Beam Search | 11 | 3 years ago | 2 | mit | Python | |||||
| PyTorch implementation for Seq2Seq model with attention and Greedy Search / Beam Search for neural machine translation | ||||||||||
| Aca4nmt | 10 | 6 years ago | 2 | Python | ||||||
| Code of a novel model for NMT | ||||||||||
| Telluride_decoding | 8 | 2 years ago | 7 | June 30, 2022 | 3 | apache-2.0 | Python | |||
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