Bestom927

Bestom927's Stars

• 1c7/chinese-independent-developer

  👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

  37.6k1.2k1503.1k

• coqui-ai/TTS

  🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

  Language:Python35.1k2911.1k4.3k

• timqian/chinese-independent-blogs

  中文独立博客列表

  Language:Python20.6k294812.5k

• jaywalnut310/vits

  VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

  Language:Python6.8k542061.2k

• keithito/tacotron

  A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

  Language:Python3k146323959

• rom1504/clip-retrieval

  Easily compute clip embeddings and build a clip retrieval system with them

  Language:Jupyter Notebook2.4k24231209

• BBuf/tvm_mlir_learn

  compiler learning resources collect.

  Language:Python2.1k364330

• fouber/lottery

  年会抽奖程序

  Language:JavaScript1.5k2220601

• PlayVoice/vits_chinese

  Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!

  Language:Python1.2k24162167

• ROCm/HIPIFY

  HIPIFY: Convert CUDA to Portable C++ Code

  Language:C++5202624474

• llvm/Polygeist

  C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!

  Language:C++48221137115

• vaseline555/Federated-Learning-in-PyTorch

  Handy PyTorch implementation of Federated Learning (for your painless research)

  Language:Python40831989

• KEKE046/mlir-tutorial

  Hands-On Practical MLIR Tutorial

  Language:C++3243345

• malizhigithub/answerWeb

  基于SSM在线答题系统

  Language:Java1835150

• sachit-menon/classify_by_description_release

  Language:Python1594924

• acsicuib/YAFS

  Yet Another Fog Simulator (YAFS)

  Language:Python101116573

• limanling/clip-event

  Language:Python991078

• csLinZhang/CVBook

  计算机视觉导论配套网站

  Language:C92348

• wespeech/awesome-tts

  Language:HTML16103

• yuzhenfeng2002/Java-Project-and-Homework

  同济大学2019级信息管理与信息系统专业Java课程作业。本仓库的FinalProject文件夹中为一个使用Spring Boot + Thymeleaf + MyBatis框架实现的一个名为“E-Exercise”的学习答题网站项目，主要包括用户模块、知识模块和习题模块，并将其部署在云服务器上。在知识模块，实现了知识间依赖关系的构建，以Markdown标记语言作为知识模板；在习题模块，实现了习题作答、习题批改、习题推荐等功能，同时在原始Markdown语法的基础上，面向选择题拓展了该标记语言，使得用户能够较方便地添加习题。本网站没有采用XML标记语言作为知识和内容的模板，考虑到的是用户需求，因为不熟悉XML的用户较难使用，因此采用广受大众喜爱的简单易学的Markdown标记语言。本网站可以通过IP地址进行访问，登录界面的URL为http://47.103.73.100:8081/ExerciseOnline/user/toLogin 。在答辩完成后本网站所有源代码将在GitHub上进行开源，遵循MIT License开源协议。

  Language:TeX12100

• cerebellumking/Back-End

  候鸟留学后端仓库

  Language:C#6201

• Bestom927/LearnJava-Website

  Language:Vue4100

• SIOTLAB/Fog-Development-Kit

  The Fog Development Kit for Edge-Fog IoT Applications

  Language:Python4301

• Pikachudy/College_StudyAbroad_WEB_backEnd

  候鸟留学高校信息服务部分

  Language:Java3202

• Pikachudy/TJ_volunteer_certification

  同济大学志愿者证书生成小程序

  2101

• cerebellumking/cerebellumking

  1100

• cerebellumking/DesignPattern

  设计模式

  Language:Java1000

• cerebellumking/os

  Language:C1100

• cerebellumking/StudyAbroad_DB_frontEnd

  同济大学软件工程大二下小学期数据库课设项目——候鸟留学交流平台的前端部分

  Language:Vue1000

• FangXinyu-0913/LearnJava-Backend

  Language:Java1101