365 Open source projects that are alternatives of or similar to Video-Action-Transformer-Network-Pytorch-

Trax — Deep Learning with Clear Code and Speed

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

A curated list of awesome resources combining Transformers with Neural Architecture Search

Zero -- A neural machine translation system

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

Production First and Production Ready End-to-End Speech Recognition Toolkit

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

将微信小程序的wxml代码转换成js object或html片段

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

AdaSpeech: Adaptive Text to Speech for Custom Voice

Production First and Production Ready End-to-End Speech Recognition Toolkit

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

Transformers for Longer Sequences

PaccMann models for protein language modeling

Import SVG files in your React Native project the same way that you would in a Web application.

(TPAMI2022) Salient Object Detection via Integrity Learning.

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

Official PyTorch implementation of SegFormer

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

SOTA Semantic Segmentation Models in PyTorch

集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

A collection of view pager transformers

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

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

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

A data set and model for german sentiment classification.

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

Русскоязычный чат-бот для Discord на архитектуре Transformer

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

[ACL‘20] Highway Transformer: A Gated Transformer.

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

Basis expansion transformers in sklearn style.

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

proc(ess)-that - easy extendable ETL tool for Node.js. Written in TypeScript.

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

A more handy way to use SPARQL data in your web app

Source code for our "TitleStylist" paper at ACL 2020

Code for the paper "Jukebox: A Generative Model for Music"

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

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

ALPR model in unconstrained scenarios for Chinese license plates

Minimalist NMT for educational purposes

Yet Another ETL in PHP

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

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.

Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

Variational Transformers for Diverse Response Generation

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

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Lumen 8 基础上扩展出的API 启动项目，精心设计的目录结构，规范统一的响应数据格式，Repository 模式架构的最佳实践。

Indonesian Language Models and its Usage

Neutron: A pytorch based implementation of Transformer and its variants.