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tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
TensorFlow benchmark scripts for single and multi nodes with multi GPUs
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Implementation of papers for text classification task on DBpedia
CNN-RNN中文文本分类,基于TensorFlow
TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models (2024 ICASSP)
Domain-Adversarial Neural Network in Tensorflow
the Tensorflow version of multi-speaker TTS training with feedback constraint
Tensorflow Temporal Convolutional Network
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN:由腾讯优图实验室和光影实验室协同打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。
ToneNet: A CNN Model of Tone Classification of Mandarin Chinese
A multi-voice TTS system trained with an emphasis on quality
Everything about Transfer Learning and Domain Adaptation--迁移学习
A TensorFlow Implementation of the Transformer: Attention Is All You Need
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Deep learning for Text to Speech
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Scripts for computing the Intelligibility and CLVP scores for evaluating TTS models
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
[AAAI 2024] CTX-txt2vec, the acoustic model in UniCATS
Unofficial PyTorch Implementation of UnivNet Vocoder (https://arxiv.org/abs/2106.07889)
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
Vector Quantization, in Pytorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.