821 Open source projects that are alternatives of or similar to visualization

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

End-to-end ASR/LM implementation with PyTorch

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Predict materials properties using only the composition information!

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Multi-turn dialogue baselines written in PyTorch

NLP: Relation extraction with position-aware self-attention transformer

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

2018-JDDC大赛第4名的解决方案

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

list of efficient attention modules

Natural Language Processing Tutorial for Deep Learning Researchers

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Fully featured implementation of Routing Transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Transformer based on a variant of attention that is linear complexity in respect to sequence length

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

TianChi AIEarth Contest Solution

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Neural Machine Translation with Keras

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

An Implementation of 'Attention is all you need' with Chinese Corpus

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

A PyTorch Implementation of "Attention Is All You Need"

BertQA - Attention on Steroids

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Julia Implementation of Transformer models

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Attention mechanism

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

Sequence to Sequence Models in PyTorch

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

You Only Look at One Sequence (NeurIPS 2021)

Exploring attention weights in transformer-based models with linguistic knowledge.

SOTA Semantic Segmentation Models in PyTorch

Implementation of State-of-the-art Text Classification Models in Pytorch

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

nlp lecture-notes and source code

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

A collection of SOTA Image Classification Models in PyTorch