唇形同步项目涉及创建一个系统，该系统将数字角色或化身的唇形运动与音频输入（例如语音或音乐）同步。该技术通常用于各种应用，包括动画、游戏、虚拟助手和娱乐。
A lip-sync project involves creating a system that synchronizes the lip movements of a digital character or avatar with an audio input, such as speech or music. This technology is commonly used in various applications, including animation, gaming, virtual assistants, and entertainment. (2024-03-29, Python, 0KB, 下载0次)
这种模式的主要目的通常是产生幽默和娱乐。它可以用于聊天机器人、虚拟助手或社交媒体平台，以诙谐和讽刺的回应吸引用户。
The primary purpose of this model is often to generate humor and entertainment. It can be used in chatbots, virtual assistants, or social media platforms to engage users with witty and sarcastic responses. (2024-03-22, Jupyter Notebook, 0KB, 下载0次)
小米手环7的增强版表盘,随时间变化的风景背景,微信 支付宝收款码生成(非付款码),点数器,吃什么决策器等更多功能
The enhanced dial of Xiaomi bracelet 7 has more functions such as changing landscape background over time, WeChat Alipay collection code generation (non payment code), point counter, what to eat decision maker, etc (2022-09-29, JavaScript, 0KB, 下载0次)
这是一个印度虔诚的混合和低保真修改的音乐网页，为印度年轻一代。
This is an Indian devotional with mixed and low-fi modified music webpage for young generation of India. (2023-11-22, JavaScript, 0KB, 下载0次)
一个用围棋写的耳语网。续自谷歌卓越的代码实验室：
A whispernet written in Go. Continued from Google s excellent code lab:
基于航空和激光雷达图像的CGAN道路网生成
Road Network Generation using CGAN from Aerial and LiDAR Images (2023-11-14, Jupyter Notebook, 0KB, 下载0次)
使用深度学习方法和统计方法生成音乐||构建人工智能音乐网站。
Using Deep learning method and satistical methods to generate music||build the AI music web. (2023-11-09, Jupyter Notebook, 0KB, 下载0次)
微调LLM，以根据主要新闻网站的文本抓取故事生成新闻故事摘要，
Fine-tuning an LLM to generate summaries of news stories based on text- scraping stories from major news sites, (2023-09-22, Others, 0KB, 下载0次)
生成宝莱坞音乐的深度学习RNN模型。该博客帖子中的方法和模型的修改版本：[https:hed...]（https:hedisistrh.github.io 2018-04-27-Music-Generation-with-LSTM），
A deep learning RNN model to generate bollywood music. Adapted/modified version of the methods and model from this blog post: https://hedonistrh.github.io/2018-04-27-Music-Generation-with-LSTM/ (2020-11-03, Jupyter Notebook, 0KB, 下载0次)
我试图在员工流失数据网络上找到的数据集上学习预测建模，
Me trying to learn predictive modeling on a dataset I found on the web of employee attrition data, (2023-09-17, Jupyter Notebook, 0KB, 下载0次)
（2023年4月5日）（下载）Soundscape，背景噪音应用程序。专注于你的任务和娱乐。我建议使用耳机。电子，...，
(05-Apr-2023) (Download) Soundscape, background noise app. To focus on your task and entertainment. Electronjs, Reactjs 16. (2023-08-09, Others, 0KB, 下载0次)
使用套接字创建的子网与其他在线用户连接和聊天。利用SQL数据库。
Using Sockets created subnet to connect and chat with other online users. Made use of SQL database. (2022-02-21, Python, 986KB, 下载0次)
一个完整的filecoin lotus和boost docker映像，以启动用于智能合约开发的本地网
A complete filecoin lotus and boost docker image to spin up a localnet for smart contract development (2023-05-11, Dockerfile, 12KB, 下载0次)
我的硕士论文，题目是用代码Ge注释有色Petri网模型的框架的设计和评估...
My Master s Thesis, titled Design and Evaluation of a Framework for Annotating Coloured Petri Net Models with Code Generation Pragmatics (2012-07-05, Java, 67487KB, 下载0次)
量子生成性对抗网络（QGAN）和经典生成性对抗网（CGAN）用于训练一维和二维网络...
Quantum generative adversarial network (QGAN) and classical generative adversarial network (CGAN) to train 1d and 2d probability distribution (2022-06-14, Jupyter Notebook, 11832KB, 下载0次)
深度图库，用于Automatc1111稳定扩散webui的控制网扩展
Depth map library for use with the Control Net extension for Automatic1111 stable-diffusion-webui (2023-05-17, JavaScript, 4830KB, 下载0次)
Eduardo Ruiz Ruiz先生在Datos Ciencia de Datos的首席执行官办公室工作...
Repositorio del trabajo de fin de máster de Eduardo Ruiz Ruiz para el máster de Ciencia de Datos, donde están disponibles los notebooks con el códig de las pruebas realizadas y otros archivos relevantes del proyecto. (2020-09-13, HTML, 73191KB, 下载0次)
使用tensorflow_datasets（tfds）api的微小图像网数据集下载器和阅读器
tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api (2019-09-17, Python, 10KB, 下载0次)
编码练习，将图像网的tensorflow扩展到主动学习，用于求职面试或类似活动。
Coding exercise to extend tensorflow for imagenet to active learning, for use in a job interview or similar. (2017-08-30, Python, 11KB, 下载0次)
ICLR 2022论文代码。卓越图像网：如何在深度学习中发现虚假特征
Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning (2022-08-19, Jupyter Notebook, 10819KB, 下载0次)