An in-depth analysis of LaunchNext, an open source macOS application launcher built with SwiftUI and SwiftData. Explore how this project restores customization lost in macOS 26's Launchpad, featuring smart data migration, modern Swift architecture, and community-driven innovation.
Master Universal Robot MCP server integration with this step-by-step tutorial. Learn installation methods, robot connection management, real-time status monitoring, joint and linear motion control, safety protocols, and simulation mode. Perfect for developers wanting to enable AI assistants to control Universal Robots through the Model Context Protocol interface.
Learn how to install and run Claude Code in Termux on Android, and seamlessly configure Claude Code Router to flexibly switch AI models for coding tasks. This tutorial covers setup, configuration, and practical tips for boosting development productivity with a powerful, customizable AI coding environment on your mobile device.
Learn how to fix the Moonlight resolution can't change issue on mobile, tablet, or custom devices using native solutions with NVIDIA Control Panel and Windows settings—no extra downloads needed.
My real thoughts on my third year of blogging.
Learn how to create the best multilingual blog with Hexo in this ultimate guide. Simplify your setup process and unlock the power of internationalization to reach a global audience. This tutorial offers clear steps and expert tips to help you master Hexo’s multilingual features and elevate your blogging experience effortlessly.
Black Myth Wukong is an action RPG inspired by Journey to the West, combining rich Chinese mythology with stunning visuals and deep storytelling. This article covers all the essential background you need to enjoy the game.
Learn the simplest method to control NVIDIA GPU fan speed on Linux via SSH, ensuring optimal performance without a graphical interface.
Discover how to easily transfer your CSV files from Umami Cloud to a self-hosted Umami setup with our step-by-step guide. Perfect for seamless data integration!
This guide provides step-by-step instructions to resolve the UnsupportedClassVersionError when launching a Minecraft 1.20.5 server, ensuring compatibility with the latest Java versions.
Suno AI has launched its version 3 (v3), marking a significant upgrade that enables the creation of radio-quality music in a matter of seconds.
NVIDIA founder and CEO Jensen Huang kicked off the largest GTC conference to date by introducing several new products and services, including NVIDIA Blackwell, NIM microservices, and Omniverse Cloud APIs.
In this guide, we’ll show you how to add shaders and mods to Minecraft on a Mac using the Iris Shaders mod. This approach enhances Minecraft’s visuals and gameplay on Macs, including those with Apple Silicon chips. We’ll cover the installation process, ensuring a visually stunning and smoothly running Minecraft experience. Whether you’re new to mods and shaders or looking to upgrade your Minecraft setup, this concise guide has you covered.
All the links you need are here:
Minecraft Java
Fabric
Fabric API
The GitHub repository for “GPT-SoVITS” is a project focused on voice data processing and text-to-speech (TTS) technology. It highlights the capability of training a good TTS model using as little as one minute of voice data, a method known as “few shot voice cloning.” The project is under the MIT license and involves Python as its primary programming language.
Important: This tutorial has expired, and the project has supported MAC, please follow GitHub’s tutorial.
This tutorial will talk about how to running this project using the CPU under the Mac platform.
Bert-VITS2 is an innovative text-to-speech synthesis project that combines the VITS2 backbone with a multilingual BERT model. This integration allows for enhanced speech synthesis capabilities, especially in multilingual contexts. The project is particularly noteworthy for its specialized version, “Extra: 中文特化版本,” tailored for Chinese language processing. This development represents a significant advancement in the field of speech synthesis, catering to diverse linguistic needs.
This tutorial will talk about how to running this project using the CPU under the Mac platform.
This tutorial is based on videos and practice from this site.
Below are the reference videos and documents:
How to elegantly create a Bert-VITS2 Dataset
[Bert-vits2] Cloud
The SO-VITS-SVC project represents a cutting-edge initiative in the field of voice synthesis and conversion, specifically tailored for applications in singing voice transformation. Leveraging the capabilities of the Variational Inference with adversarial learning (VITS) models, this project offers a platform for users to convert spoken or sung audio into the voice of a different character or person.
Primarily targeted at enthusiasts in deep learning and voice synthesis, as well as researchers and hobbyists interested in voice manipulation and anime character voice generation, SO-VITS-SVC serves as a practical tool for applying theoretical knowledge in deep learning to real-world scenarios. The project enables users to experiment with various aspects of voice conversion, including timbre, pitch, and rhythm alterations.
This tutorial will talk about how to running this project using the CPU under the Mac
Carl Sagan once said: “The brain is like a muscle. When it is in use, we feel very good. Understanding is joyous.” Digital technology means more than social media and computer games, it also means learning and exercise. In this essay, we will discover how digital technology enhances our memory ability, and decision-making skill and improve understanding skill.
In his contemplation of human faculties, Marcus Tullius Cicero astutely noted, “Memory is the treasury and guardian of all things,” thereby emphasizing its central role in the tapestry of human cognition. Memory is not merely a repository of past experiences; it is instrumental in the processes of learning, planning, and applying experiential knowledge. However, the robustness of memory often dwindles with advancing age, presenting a significant challenge to these cognitive functions. It is in this arena that the burgeoning field of
In the rapid and exciting world of deep learning and computer vision, two certain foundational works truly set the standard for future research and build the path for exciting applications in Academia and industry. Two such impressive works are “ImageNet Classification with Deep Convolutional Neural Networks” and “Deep Residual Learning for Image Recognition.” For simplicity, we will refer to them as AlexNet (RA1) and ResNet (RA2).
RA1, known as the AlexNet, was not only the winner of the ImageNet competition in 2012 but also redefined what machines could identify patterns and classifications. ImageNet, created by the Stanford Vision Lab, Stanford University, and Princeton University, is the industry’s definitive image database, containing hundreds to thousands of images, and has had a very important effect on CV (computer vision) and DL (deep learning). RA2, commonly referred to as the ResNet, revolutionized the changed the
Language
Welcome! In this article, we will delve into several popular fine-tuning strategies: FFT (Full-Fine-Tuning), SFT (Supervised Fine Tune), and Qlora. Each strategy has its own uniqueness and is applicable to different scenarios and needs. Let’s explore these strategies together, understand how they work, and how to choose and use them in practical applications. Let’s get started!
Since Llama1 was introduced, the open-source model community has begun to flourish. From Alpaca, Vicuna,
