Best AI tools for< Provide Song Title >

CreateAi is an AI tool that empowers creators by generating captivating titles for books, articles, YouTube videos, songs, and more. It offers specialized tools like Book, Essay, YouTube, and Song Title Generators to enhance creative processes across various platforms. CreateAi leverages advanced artificial intelligence algorithms to provide users with optimized and engaging title suggestions, helping them achieve better results quickly and efficiently.

MusicStar.AI is an AI-powered music generator that allows users to create new music in a variety of styles with just a few clicks. Users simply need to input the title of their new song and their preferred style, and the software will generate unique music in seconds. MusicStar.AI can be used to generate music for a variety of purposes, including songwriting, music production, and film and video scoring.

SunoMusic is a free AI music generator tool developed by SunoAI. Users can create unique Suno AI MP3 songs instantly and download them for free. The tool offers custom mode for song creation, allowing users to specify song description, lyrics, instrumental style of music, and title. SunoMusic aims to provide innovative music creation experience to its users.

Staccato is an AI-powered music creation and songwriting tool that helps musicians, songwriters, and producers overcome writer's block, generate unique melodies and lyrics, and learn music theory. With its intuitive interface and powerful AI algorithms, Staccato provides a range of features to enhance the creative process, including AI Instrument™ for generating MIDI music, AI Lyrics for creating song lyrics, and educational tools for understanding music theory and songwriting techniques.

AISong.ai is a free alternative AI music generator that allows users to create unique MP3 songs instantly. Users can generate custom music with lyrics, instrumental style, and title. The website offers innovative music creation capabilities, enabling users to download and enjoy their creations. AISong.ai is not affiliated with Suno AI, but it provides a similar AI music generation experience.

SONOTELLER.AI is an AI song analyzer that analyzes song lyrics and music to provide a comprehensive summary about the song. It can identify musical attributes such as genres, subgenres, moods, instruments, BPM, and key. The tool is designed to simplify the way music lovers understand and organize their music collections, making it easier to discover and manage music across various platforms. SONOTELLER.AI is in beta phase, offering features like lyric analysis, music analysis, and automatic tagging to enhance music discovery and distribution.

Unholy.ai is an AI tool designed to detect any 'unholiness' in the music you listen to. It uses advanced algorithms to analyze audio tracks and identify any elements that may be considered inappropriate or offensive. The tool is currently under construction and being developed by Saud with the help of GPT Bros. Unholy.ai aims to provide users with a unique way to ensure the music they listen to aligns with their preferences and values.

Chroma AI is an AI tool that generates gradients based on your mood. By simply writing about your current mood, the lyrics of your favorite song, or any random thought, the AI will create beautiful color gradients for you. The tool utilizes OpenAI API to provide this unique service, allowing users to express themselves visually through colors.

HookGen is a music hook generator that uses artificial intelligence to create original song music hooks. It was created to showcase the creative capabilities of AI and to provide musicians with a tool for generating new musical ideas. The website features a simple interface that allows users to select the desired emotion, note complexity, and type of hook they want to generate. HookGen then uses a trained artificial neural network to generate a unique song hook that can be played back or downloaded as a MIDI file. The website also includes a feedback form that allows users to provide feedback on the generated hooks, which is used to improve the AI engine.

SwiftieGPT is an AI tool designed to provide detailed information about Taylor Swift based on publicly available data. Users can ask questions in a clear and concise manner and receive responses related to various aspects of Taylor Swift's life and career, such as tour dates, song lyrics, awards, and more. The tool aims to offer Swifties a comprehensive source of information about their favorite artist, Taylor Swift.

Books by AI is a website that allows users to generate books written by artificial intelligence. Users can provide a description of the book they want to read, and the AI will write it for them. The website offers a variety of languages to choose from, and the more descriptive the user is, the better the result will be.

Playlist Name AI is an AI-powered tool designed to generate personalized and creative playlist names for music enthusiasts. It uses advanced AI models to provide tailored suggestions based on mood, genre, and personal preferences. Users can save favorite names to improve personalization over time, making the process of naming playlists enjoyable and unique. The tool offers a wide range of moods and genres to choose from, ensuring a diverse selection of playlist names for various occasions and music tastes.

MuseChat is an AI-powered platform that allows users to create and interact with their own AI companions. With MuseChat, users can create unique AI characters with distinct personalities, stories, and appearances. These AI companions can engage in natural language conversations, generate creative content, and provide emotional support. MuseChat offers a range of features to enhance the user experience, including advanced language processing, machine learning algorithms, and a user-friendly interface. The platform is designed to be accessible to users of all levels, from beginners to experienced AI enthusiasts.

CoverArtist is an AI-powered album art generator that empowers musicians to create stunning, unique cover art for their music in minutes. With CoverArtist, you can say goodbye to long waits and high costs associated with traditional album art design. Simply enter your song details, and our AI will generate three unique and visually appealing artwork options based on the information you provide. You can then choose your favorite cover art, download it, and use it for your music. CoverArtist is quick, easy, and cost-effective, making it the perfect solution for musicians who want to create professional-quality album art without breaking the bank.

AI Song Generator is an AI-powered platform that simplifies the process of creating, customizing, and sharing unique songs. Users can define song parameters, generate music using AI capabilities, personalize tracks, and download/share their creations. The tool offers features like text-to-song conversion, lyrics generation, cover creation, voice cloning, and more. With a wide range of genres and moods available, users can easily create royalty-free music for various projects. AI Song Generator is designed to be user-friendly, accessible to all, and provides a seamless music creation experience.

Song Demo AI is an advanced platform specializing in music generation and text-to-music conversion. The service, powered by Suno AI 3.5 and udio ai models, provides free music generation tools to help users create high-quality music tracks quickly and efficiently. Users can input text descriptions and the AI system will automatically generate corresponding music tracks in various styles such as pop, classical, electronic, and jazz. The music generation speed is fast, and the quality of the generated music is professional-level. Song Demo AI supports text input in multiple languages and offers a limited number of free music generation services.

Lamucal is an AI-powered platform that provides tabs and chords for any song. It offers real-time chords, lyrics, tabs, and melody for any song, making it a valuable tool for musicians and music enthusiasts. Users can upload songs or search for any song to access chords and other musical elements. With a user-friendly interface and a wide range of features, Lamucal aims to enhance the music learning and playing experience for its users.

Lamucal is an AI-powered music application that provides users with accurate chords, beats, lyrics, and tabs for any song. It features AI-generated rhythm patterns and precise lyric synchronization, making it an invaluable tool for musicians and music enthusiasts alike. With Lamucal, users can easily find and play their favorite songs, explore new music, and improve their musical skills.

Covers.AI is an AI voice generator and AI song generator platform that allows users to create custom AI voices by uploading voice recordings. It offers a wide range of AI voice models for various categories such as anime, cartoons, streamers, gaming, famous personalities, and more. Users can easily generate AI voices and songs in minutes, making it a game-changing tool for music lovers of all levels of expertise. Covers.AI provides a user-friendly experience, empowering users to control and enhance their voices effortlessly.

Moises App is a music application powered by AI that provides musicians with a range of tools to enhance their practice and performance. With Moises App, users can separate vocals and instruments in any song, adjust the speed and pitch, and detect chords in real time. The app also includes a smart metronome and audio speed changer, making it an ideal tool for musicians of all levels. Moises App is available as a desktop application, iOS app, and web app, making it accessible to musicians on any device.

LeRobot is a state-of-the-art AI library for real-world robotics in PyTorch. It aims to provide models, datasets, and tools to lower the barrier to entry to robotics, focusing on imitation learning and reinforcement learning. LeRobot offers pretrained models, datasets with human-collected demonstrations, and simulation environments. It plans to support real-world robotics on affordable and capable robots. The library hosts pretrained models and datasets on the Hugging Face community page.

DISC-LawLLM is a legal domain large model that aims to provide professional, intelligent, and comprehensive **legal services** to users. It is developed and open-sourced by the Data Intelligence and Social Computing Lab (Fudan-DISC) at Fudan University.

Neuromatch Academy NeuroAI Course Syllabus is a repository that contains the schedule and licensing information for the NeuroAI course. The course is designed to provide participants with a comprehensive understanding of artificial intelligence in neuroscience. It covers various topics related to AI applications in neuroscience, including machine learning, data analysis, and computational modeling. The content is primarily accessed from the ebook provided in the repository, and the course is scheduled for July 15-26, 2024. The repository is shared under a Creative Commons Attribution 4.0 International License and software elements are additionally licensed under the BSD (3-Clause) License. Contributors to the project are acknowledged and welcomed to contribute further.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.

This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.

TokenPacker is a novel visual projector that compresses visual tokens by 75%∼89% with high efficiency. It adopts a 'coarse-to-fine' scheme to generate condensed visual tokens, achieving comparable or better performance across diverse benchmarks. The tool includes TokenPacker for general use and TokenPacker-HD for high-resolution image understanding. It provides training scripts, checkpoints, and supports various compression ratios and patch numbers.

MathCoder is a repository focused on enhancing mathematical reasoning by fine-tuning open-source language models to use code for modeling and deriving math equations. It introduces MathCodeInstruct dataset with solutions interleaving natural language, code, and execution results. The repository provides MathCoder models capable of generating code-based solutions for challenging math problems, achieving state-of-the-art scores on MATH and GSM8K datasets. It offers tools for model deployment, inference, and evaluation, along with a citation for referencing the work.

OpenDevin is an open-source project aiming to replicate Devin, an autonomous AI software engineer capable of executing complex engineering tasks and collaborating actively with users on software development projects. The project aspires to enhance and innovate upon Devin through the power of the open-source community. Users can contribute to the project by developing core functionalities, frontend interface, or sandboxing solutions, participating in research and evaluation of LLMs in software engineering, and providing feedback and testing on the OpenDevin toolset.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

Evalverse is an open-source project designed to support Large Language Model (LLM) evaluation needs. It provides a standardized and user-friendly solution for processing and managing LLM evaluations, catering to AI research engineers and scientists. Evalverse supports various evaluation methods, insightful reports, and no-code evaluation processes. Users can access unified evaluation with submodules, request evaluations without code via Slack bot, and obtain comprehensive reports with scores, rankings, and visuals. The tool allows for easy comparison of scores across different models and swift addition of new evaluation tools.

CogVLM2 is a new generation of open source models that offer significant improvements in benchmarks such as TextVQA and DocVQA. It supports 8K content length, image resolution up to 1344 * 1344, and both Chinese and English languages. The project provides basic calling methods, fine-tuning examples, and OpenAI API format calling examples to help developers quickly get started with the model.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

SwiftSage is a tool designed for conducting experiments in the field of machine learning and artificial intelligence. It provides a platform for researchers and developers to implement and test various algorithms and models. The tool is particularly useful for exploring new ideas and conducting experiments in a controlled environment. SwiftSage aims to streamline the process of developing and testing machine learning models, making it easier for users to iterate on their ideas and achieve better results. With its user-friendly interface and powerful features, SwiftSage is a valuable tool for anyone working in the field of AI and ML.

This repository provides an implementation of QA-MDT, integrating state-of-the-art models for music generation. It offers a Quality-Aware Masked Diffusion Transformer for enhanced music generation. The code is based on various repositories like AudioLDM, PixArt-alpha, MDT, AudioMAE, and Open-Sora. The implementation allows for training and fine-tuning the model with different strategies and datasets. The repository also includes instructions for preparing datasets in LMDB format and provides a script for creating a toy LMDB dataset. The model can be used for music generation tasks, with a focus on quality injection to enhance the musicality of generated music.

The Open MatSci ML Toolkit is a flexible framework for machine learning in materials science. It provides a unified interface to a variety of materials science datasets, as well as a set of tools for data preprocessing, model training, and evaluation. The toolkit is designed to be easy to use for both beginners and experienced researchers, and it can be used to train models for a wide range of tasks, including property prediction, materials discovery, and materials design.

作者：风沙==微信：Love_Gws_1314--AI歌曲生成，通过引导用户提供相关信息，可以生成符合要求的整首歌曲信息，包括歌名、歌词、演唱方式等

Provide the name, author and genre of a song and the genre you want it re-imagined to. User Prompt: Enter the name of a song, artist, current genre, and the genre you want.

Expert in Arabic songs, especially Lebanese, and songwriting.

宋期历史准确专家，使用网络研究。

Joyful music expert in song lyrics, offering trivia, insights, and engaging music discussions.

What is Shucks lyrics meaning? Shucks singer：Jack Stauber，album：Micropop ，album_time：2019. Click The LINK For More ↓↓↓

What is TRUCK lyrics meaning? TRUCK singer：Michael Hardy, Hunter Phelps, Benjamin Johnson，album：A ROCK ，album_time：2020. Click The LINK For More ↓↓↓

Chat with Taylor, offering friendly and supportive responses to her Swifties

What is Visitor lyrics meaning? Visitor singer：Paul Giese Garonzik, Trayer Tryon, Zachary Tetreault, Nicole Miglis，album：Hundred Waters ，album_time：2012. Click The LINK For More ↓↓↓

A GPT that provides no response.

Channeling Tupac's musical spirit to inspire.

Tupac, Biggie, Nas, P-Diddy, Snoop, Method Man

Lovecraftian Cookie Monsters

I won't tell.

Spécialisé dans les lettres Oummaines, en français

おじさんの口語調で回答

Julian Goldie's Favourite Prompts and Tools

Okuwagira okukola prompt ya Chatgpt - Olulimi Oluganda

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