503 Open source projects that are alternatives of or similar to wxml-transformer

微信小程序，集成redux，并且提供了方便快捷的开发环境；内置好奇心日报Demo...

💃 一款轻巧的渐进式微信小程序框架

品优购，微信小程序电商项目，适合各位拿来学习，可以动动发财的小手点个小star⭐

微信小程序/wepy/日历组件

微信小程序开发资源汇总 💯

📰微信小程序--头条新闻

主要使用了微信小程序的客服接口，通过将用户输入的消息发送至自己服务器端。 此服务器端用于接收和存储聊天内容，并且提供简单的查看历史资料和模拟客服发送消息的功能。

一款atom插件，支持微信语法高亮和代码补全

运势小程序，使用canvas绘画图片，并保存图片

微信小程序swiper插件

🐧 微信小程序组件和功能封装，基于微信Component自定义组件开发

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

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

Several basic neural machine translation models implemented by PyTorch & TensorFlow

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

(TPAMI2022) Salient Object Detection via Integrity Learning.

nlp lecture-notes and source code

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

Wechat wxml support and wxml code snippets for VSCode

微信小程序（简单）-通用模板商城

Source code for our "TitleStylist" paper at ACL 2020

🎉微信小程序-基于SpringBoot的实现Maven聚合,分为core核心模块,service服务模块，gateway对外网关模块，目前已经实现Shrio鉴权jwt监控鉴权,为小程序提供统一规范接口，以及小程序配套后台.

微信运动运营小程序，模仿腾讯公益，捐步

Official PyTorch implementation of SegFormer

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

Jest Svelte component transformer

Basis expansion transformers in sklearn style.

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

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

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

🎮一款提供餐桌，酒桌上小游戏的小程序。

🏗️在小程序中使用 js-base64 库

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

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

rxjava scheduler transformer tools for android

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.

A simple TensorFlow implementation of the Transformer

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

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

KitanaQA: Adversarial training and data augmentation for neural question-answering models

[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.

AdaSpeech: Adaptive Text to Speech for Custom Voice

ALPR model in unconstrained scenarios for Chinese license plates

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Predict materials properties using only the composition information!

Yet Another ETL in PHP

A data set and model for german sentiment classification.

A simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

简单的微信小程序Storage相关的封装, 特点是安全的数据源, 有效的存储时间

Image Captioning Using Transformer

微信小程序－豆瓣电影Demo 📽

A neural network architecture for prediction on sets

微信小程序日历组件

JSON API transformer outputting valid (PSR-7) API Responses.

Implementation of the paper Video Action Transformer Network

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

Русскоязычный чат-бот для Discord на архитектуре Transformer

A middleware to switch fractal serializers in dingo

《倾心短视频》微信小程序