sequitur
by shobrook
Library of autoencoders for sequential data
AI summary
Autoencoder library
A library of autoencoders for sequential data
- stars
- 435
- forks
- 56
- watching
- 14
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Autoencoder library
A software framework for semi-supervised generative Autoencoder models applied to single-cell data analysis.
Autoencoder
An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data.
Autoencoder density estimator
An implementation of a masked autoencoder density estimation model in PyTorch
Autoencoder library
An implementation of Adversarially Regularized Autoencoders for language generation and discrete structure modeling.
Asset Pricing Models
Reimplementation of Autoencoder-based asset pricing models with Python and various feature sets.
Parser library
An NLP parser with high accuracy models for multiple languages
Sequence classifier
A toolkit for building sequence classification models in Python
lxtgh/omg-seg1.3K
Visual Model
Develops an end-to-end model for multiple visual perception and reasoning tasks using a single encoder, decoder, and large language model.
NLP Explanation Library
This is an open source PyTorch library providing tools and models to explain the predictions of deep neural networks for natural language processing tasks.
Autocomplete plugin
An autocompletion plugin for the Newman CLI.
Text analyzer library
A Python library for text analysis with recurrent neural networks.
Molecular encoder
A PyTorch-based implementation of an autoencoder for molecular data processing and encoding.
Seq2seq library
A Python NLP library for training and running sequence-to-sequence models similar to the fast.ai library.
thunlp/ernie1.4K
Language model tuner
A toolkit for fine-tuning pre-trained language models with knowledge graph representations to improve performance on entity typing and relation classification tasks.
TSNE library
An implementation of t-SNE in PyTorch for MNIST dataset analysis
Featured in 1 awesome list
Each link jumps to the spot where the list mentions sequitur.
