trellisnet
by locuslab
[ICLR'19] Trellis Networks for Sequence Modeling
AI summary
Sequence modeler
This repository presents a novel neural network architecture and its applications in sequence modeling tasks such as language modeling and classification.
- stars
- 472
- forks
- 63
- watching
- 22
Similar projects
Found by comparing what the projects do, not just their names.
Optimization layer
A PyTorch module that adds differentiable optimization as a layer to neural networks
Model learner
Develops an approach to learning probabilistic models in stochastic optimization problems
Conv Mixer Network
An implementation of the ConvMixer neural network architecture in Python
ConvMixer model
A simple ConvMixer-based classification system for the CIFAR-10 dataset
Neural Network Library
A Python library for implementing and training various neural network architectures
Protein embedding model
Developing models to learn and represent protein sequences based on their structure
Sequence classifier
A toolkit for building sequence classification models in Python
PNASNet model
PyTorch implementation of PNASNet-5 architecture
Segmentation model
A PyTorch implementation of a segmentation network architecture
Medical segmentation model
A deep learning implementation of a multi-path network architecture for medical image segmentation
Chinese NLP Models
Provides pre-trained models for Chinese natural language processing tasks using the XLNet architecture
Temporal network embedder
A PyTorch implementation of a representation learning framework for dynamic temporal networks
Neural Network Model
An implementation of the SqueezeNet neural network model in the Keras framework
Drug discovery model
Investigating neural networks for drug discovery using multiple chemical descriptors.
Language Models
This repository contains source files and training scripts for language models.
