727 Open source projects that are alternatives of or similar to wenet

Minimalist NMT for educational purposes

Voice control for your websites and applications

The code enables users to use Mozilla's Deep Speech model over the Web Browser.

A tool that can transform CommonJS to ESM

Text Normalization & Inverse Text Normalization

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

Use the iOS 10 SFSpeechRecognizer API in JavaScript with Appcelerator Hyperloop.

Covering grammars for English and Russian text normalization

将微信小程序的wxml代码转换成js object或html片段

AdaSpeech: Adaptive Text to Speech for Custom Voice

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Predict materials properties using only the composition information!

One line solution for Android Text to speech(TTS) & Speech to Text(STT) translation problem

Rev.ai Java SDK

Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

Abstractive summarisation using Bert as encoder and Transformer Decoder

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PageTransformer for flutter

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

End-to-end Solution for Speech Recognition, Text Translation, and Text-to-Speech for iOS using Amazon Translate and Amazon Polly as AWS Machine Learning managed services.

✍🏻 gpt2-client: Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, and 1.5B Transformer Models 🤖 📝

Sequence to Sequence Models in PyTorch

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Use Kodi python APIs in C#, and write rich addons using the .NET framework/Mono

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

A Abstractive Summarization Implementation with Transformer and Pointer-generator

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

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

🎙️ Handsfree Audio Development Interface

viewpager with parallax pages, together with vertical sliding (or click) and activity transition

[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.

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

Transformer implemented in Keras

allRank is a framework for training learning-to-rank neural models based on PyTorch.

PyTorch implementation of some learning rate schedulers for deep learning researcher.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Data preperation scripts, training pipeline and baseline experiment results for the Interspeech 2020 Accented English Speech Recognition Challenge (AESRC).

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

Chinese speech recognition

resources for the IBM Airlines Table-Question-Answering Benchmark

Repository for Project Insight: NLP as a Service

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A simple TensorFlow implementation of the Transformer

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An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

One Person, One Model, One World: Learning Continual User Representation without Forgetting

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

CEP is a software platform designed for users that want to learn or rapidly prototype using standard A.I. components.

Build and train state-of-the-art natural language processing models using BERT

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

Multi-turn dialogue baselines written in PyTorch

Transformation functions generator for Protocol Buffers.

Implementation of the convolutional module from the Conformer paper, for use in Transformers