Alone_seq2seq Alternatives

Alternatives To takase/alone_seq2seq
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
facebookresearch/TreeNLG 69 0 0 almost 6 years ago 0 1 other Python
A novel method of constrained decoding for neural NLG (NNLG) models
robintibor/high-gamma-dataset 38 0 0 over 3 years ago 0 1 other Python
choldgraf/paper-encoding_decoding_electrophysiology 28 0 0 about 7 years ago 0 0 Jupyter Notebook
A repository for tutorials to supplement the encoding model methods paper
basusourya/mirostat 19 0 0 about 4 years ago 0 0 mit Jupyter Notebook
Code for the paper-"Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm" (https://arxiv.org/abs/2007.14966).
deezer/fastgae 19 0 0 almost 4 years ago 0 0 Python
Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Remy, M. Moussallam and M. Vazirgiannis (2020)
SebastianCa/LDPC-like-Decoding-of-Polar-Codes 16 0 0 about 4 years ago 0 0 MATLAB
see paper "Sparse Graphs for Belief Propagation Decoding of Polar Codes"
robertwgh/cuLDPC 15 0 0 over 5 years ago 0 2 apache-2.0 C++
CUDA implementation of LDPC decoding algorithm
takase/alone_seq2seq 13 0 0 over 5 years ago 0 0 mit Python
Yoshiharu-Ikutani/DecodingCodeFromTheBrain 9 0 0 over 5 years ago 0 0 gpl-2.0 Java
MATLAB code used for preprocessing and decoding analyses in our paper: "Expert programmers have fine-tuned cortical representations of source code".
rekriz11/DeDiv 8 0 0 about 5 years ago 0 0 HTML
Alternatives To takase/alone_seq2seq
Select To Compare


Alternative Project Comparisons
Popular Paper Projects
Popular Decoding Projects
Popular Learning Resources Categories
Related Searches
Get A Weekly Email With Trending Projects
No Spam. Unsubscribe easily at any time.
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2026 Awesome Open Source.  All rights reserved.