AI tools for lofi song ai
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Phantom: Lofi Tutor
Phantom: Lofi Tutor is an AI-powered application designed to assist users in generating customized news articles and video scripts quickly and efficiently. It utilizes cutting-edge technology to analyze real-time data and provide insightful perspectives on various topics. The application is user-friendly, free of ads and trackers, and ensures privacy by not collecting user data. With Phantom: Lofi Tutor, users can stay ahead of the game by creating engaging content for their audience with ease.
Octopus.do
Octopus.do is a lightning-fast visual sitemap builder and website planner that offers a seamless experience for website architecture planning. With the help of AI technology, users can easily generate colorful visual sitemaps and low-fidelity wireframes to visualize website content and layout. The platform allows users to prepare, manage, and collaborate on website content and SEO, making website planning fast, easy, and enjoyable. Octopus.do also provides a variety of sitemap templates for different types of websites, along with features for real-time collaboration, onsite SEO improvement, and integration with Figma designs.
ChatPRD - AI for Product Managers
An on-demand Chief Product Officer that drafts and improves your PRDs, while coaching you to become an elite product manager. The best product copilot for PMs & engineers. Visit 👉 chatprd.ai for pro features
MusicGPT
MusicGPT is an application that allows running the latest music generation AI models locally in a performant way, supporting different music generation models transparently to the user. It can be interacted with through UI mode or CLI mode, generating music based on natural language prompts. The tool requires access to storage to save downloaded models and generated audios along with metadata. It is licensed under MIT License for the code and CC-BY-NC-4.0 License for the AI model weights.
ai-audio-startups
The 'ai-audio-startups' repository is a community list of startups working with AI for audio and music tech. It includes a comprehensive collection of tools and platforms that leverage artificial intelligence to enhance various aspects of music creation, production, source separation, analysis, recommendation, health & wellbeing, radio/podcast, hearing, sound detection, speech transcription, synthesis, enhancement, and manipulation. The repository serves as a valuable resource for individuals interested in exploring innovative AI applications in the audio and music industry.
llocal
LLocal is an Electron application focused on providing a seamless and privacy-driven chatting experience using open-sourced technologies, particularly open-sourced LLM's. It allows users to store chats locally, switch between models, pull new models, upload images, perform web searches, and render responses as markdown. The tool also offers multiple themes, seamless integration with Ollama, and upcoming features like chat with images, web search improvements, retrieval augmented generation, multiple PDF chat, text to speech models, community wallpapers, lofi music, speech to text, and more. LLocal's builds are currently unsigned, requiring manual builds or using the universal build for stability.
iceburgcrm
Iceburg CRM is a metadata driven CRM with AI abilities that allows users to quickly prototype any CRM. It offers features like metadata creations, import/export in multiple formats, field validation, themes, role permissions, calendar, audit logs, API, workflow, field level relationships, module level relationships, and more. Created with Vue 3 for the frontend, Laravel 10 for the backend, Tailwinds with DaisyUI plugin, and Inertia for routing. Users can install default, admin panel, core, custom, or AI versions. The tool supports AI Assist for module data suggestions and provides API endpoints for CRM modules, search, specific module data, record updates, and deletions. Iceburg CRM also includes themes, custom field types, calendar, datalets, workflow, roles and permissions, import/export functionality, and custom seeding options.
Awesome-Model-Merging-Methods-Theories-Applications
A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.