Best AI tools for< Generate Samples >

Songburst is an AI music generator application designed for everyone to create original music effortlessly. It allows users to generate music for various purposes such as online content, mixes, and distribution on platforms like Spotify and Apple Music. With Songburst, users can describe the music they want, and the AI will create a unique track based on their input. The application offers unlimited downloads of generated music in wav or mp3 formats, along with a Prompt Enhancer feature to make prompts more descriptive. Songburst is available on the web and Android platforms, providing a user-friendly experience for music creation and production.

SoundAI is an artificial intelligence-based instrumental web service that enables users to create and generate music samples, MIDI files, and presets for virtual synthesizers. The platform utilizes AI technology to assist musicians and composers in generating new melodies, exploring musical ideas, synthesizing sounds, modifying audio characteristics, and integrating with various projects. SoundAI aims to revolutionize the music industry by providing advanced AI technology for high-quality sound creation and real-time collaboration.

Emergent Drums by Audialab is an AI-powered tool that allows users to generate an infinite number of royalty-free drum samples. With its advanced algorithms, Emergent Drums can create a wide range of drum sounds, from classic to modern, and everything in between. The tool is easy to use, and users can quickly generate drum samples that fit their specific needs. Emergent Drums is a valuable tool for musicians, producers, and anyone else who needs high-quality drum samples.

VOCALOID is a singing synthesizer software that allows users to create and edit vocal melodies and lyrics. It is used by musicians, producers, and songwriters to create a wide range of musical genres, from pop and rock to electronic and experimental music. VOCALOID is known for its realistic and expressive vocal synthesis, which is achieved through a combination of advanced sampling and modeling techniques.

Beatsbrew is an AI-powered application that allows users to create unique audio samples, beats, and loops by entering text prompts. Users can generate a variety of sound assets, from instruments to beats, using the AI technology integrated into the platform. With Beatsbrew, music producers and sound creators can easily find inspiration and enhance their projects with high-quality sound samples. The application offers a user-friendly interface and provides a seamless experience for users to explore and experiment with different sound elements.

MusicGen AI is a free and advanced AI music generation tool developed by Meta. It utilizes a single Language Model (LM) to create high-quality music based on text descriptions, melodies, or audio prompts. MusicGen operates by encoding music into compressed tokens, which are then used to generate the music samples. It can produce music in various formats, including mono and stereo. MusicGen AI offers a range of features, including melody conditioning, text-conditional generation, audio-prompted generation, advanced model architecture, flexible generation modes, unconditional generation, extensive training dataset, and customizable generation process.

Audiogen is a powerful audio creation tool that utilizes generative AI to empower users with the ability to generate an infinite array of sounds, sound effects, samples, and music instantaneously. With Audiogen, users can unleash their creativity and explore a boundless sonic landscape, pushing the boundaries of audio production.

Audiogen is an AI-powered audio creation tool that leverages the power of generative AI to supercharge audio workflows. It offers high-quality studio-ready sounds, infinite variations for sound customization, royalty-free generated sounds, and inpainting features for sound refinement. Users can browse, upload, and search sounds with Audiogen AI Search, generate up to 30 seconds of unique audio instantly, and access the full potential of generative AI through the desktop application. Audiogen aims to revolutionize audio production with cutting-edge AI technology.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

This website provides a tool to generate professional resignation letters, including templates, examples, and samples. It also offers guidance on writing a formal and respectable letter of resignation with clear notice, expressing gratitude, offering support for the transition, and closing formally. Additionally, it provides tips on what to include and what not to include in a resignation letter, as well as a collection of resignation letter templates for various scenarios. The website also includes a section on frequently asked questions about resignation letters, covering topics such as whether a reason for resignation is compulsory, whether a resignation letter needs to be signed, who to send it to, whether it's acceptable to resign by email, the best day to resign, the appropriate notice period, and valid reasons for immediate resignation.

DecorAI.xyz is an AI-driven interior design tool that allows users to generate dream rooms using artificial intelligence. By simply taking a picture of a room, users can see how it looks in different themes and receive personalized design suggestions. With exceptional training on a massive dataset of 160 million design samples, DecorAI optimizes spatial layouts, provides cost-effective design solutions, and saves time compared to traditional interior design methods. The tool caters to homeowners, renters, and small businesses looking to redesign their spaces without the need for an expensive interior designer.

Writeprint.ai is an AI tool designed to humanize AI-generated content. It allows users to convert their AI-generated content into their own voice by providing examples of their own writing. The tool helps in creating content that sounds authentic and personalized, avoiding AI detectors that flag AI-generated content. Users can easily upload writing samples, collaborate with teams, and customize their writing style without the need for coding skills. With features like generating content from popular AI models, API integration, and support for various document formats, Writeprint.ai simplifies the process of creating humanlike AI content.

笔灵AI写作 is a leading AI writing assistant in China, offering a versatile AI content creation tool that can generate work plans, marketing strategies, and more with a single click. It provides over 100 real case writing samples for free use. The platform also includes a help center and sections for user agreements, privacy policies, and child information protection. Users can become members to access additional features and services.

Syntho is a self-service AI-generated Synthetic Data Platform that offers a comprehensive solution for generating synthetic data with high accuracy and privacy. It provides tools for de-identification, test data management, rule-based synthetic data generation, and more. Syntho aims to simplify data collaborations, streamline data sharing, and accelerate innovation by leveraging AI technology to create secure and nonsensitive synthetic data for various industries.

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.

Beat Shaper is a generative AI tool for musicians that helps them create beats, basslines, melodies, and VST synthesizer presets. It is designed to augment human creativity and help artists overcome writer's block. Beat Shaper is currently in beta testing, but you can apply for early access on their website.

The AI Music Generator is an innovative AI application that empowers users to effortlessly create high-quality music tracks tailored to their preferences. By leveraging advanced AI technology, users can generate diverse musical works in various styles and genres, transforming text, images, lyrics, and samples into complete music compositions. The tool offers a user-friendly interface and advanced features like 'Custom Mode' for precise control over music creation. It caters to a wide range of users, from amateur music enthusiasts to professional creators, across industries such as media content creation, gaming, advertising, and music education.

Music AI is an AI-powered music generator and song generator tool that allows users to easily create stunning and unique music from text input. Users can select from a variety of music genres such as Classical, Electronic, Urban, Metal, Jazz, Blues, Reggae, Pop, Folk, Ethnic, Experimental, World, Hip-Hop, Opera, Country, Rock, Disco, and R&B. The tool generates music samples based on the selected genre and provides users with the option to customize the image size. Music AI aims to revolutionize music creation by leveraging advanced AI technology to inspire creativity and produce high-quality music compositions.

Translate.Video is an AI-powered application that offers video dubbing and voice cloning services to users in over 75 languages. With just one click, users can translate videos, clone their voice instantly, and reach a global audience effortlessly. The application provides features such as voice cloning, multilingual magic, short samples for voice cloning, and plugins for Photoshop, Illustrator, and Figma. Translate.Video simplifies the process of creating multilingual content by offering automated transcripts, closed captions, subtitles, and dubbing services. It is a one-stop solution for all video-related needs, enabling users to generate captions, translate subtitles, perform video dubbing, AI voice-over, record voice, and create transcripts with ease.

CloneMyVoice is an AI tool that specializes in creating AI audio voiceovers for long-form content such as podcasts, presentations, and social media. Users can save up to 80% compared to competitors and 99% compared to human voice actors. The platform allows users to upload source audio files and text, provide voice samples, and receive processed audio files within one hour. CloneMyVoice offers the ability to create audio presentations, social media content, podcasts, and audio books effortlessly. The AI can generate flawless English voices with British or American accents, capturing the tone and essence of the original voice.

Custom AI prompt generator node for ComfyUI. With this node, you can use text generation models to generate prompts. Before using, text generation model has to be trained with prompt dataset.

Pieces for Developers is a closed-source Obsidian plugin designed to revolutionize coding workflows by incorporating key capabilities and favorite features directly into the Obsidian environment. The plugin, Pieces Copilot for Obsidian, enhances coding and problem-solving experiences by providing insights on code snippets, generating samples, and facilitating navigation through PRs. Users can capture, manage, share, and discover code snippets and developer materials with ease, bringing efficiency and organization to their coding experience.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

BigCodeBench is an easy-to-use benchmark for code generation with practical and challenging programming tasks. It aims to evaluate the true programming capabilities of large language models (LLMs) in a more realistic setting. The benchmark is designed for HumanEval-like function-level code generation tasks, but with much more complex instructions and diverse function calls. BigCodeBench focuses on the evaluation of LLM4Code with diverse function calls and complex instructions, providing precise evaluation & ranking and pre-generated samples to accelerate code intelligence research. It inherits the design of the EvalPlus framework but differs in terms of execution environment and test evaluation.

BABILong is a generative benchmark designed to evaluate the performance of NLP models in processing long documents with distributed facts. It consists of 20 tasks that simulate interactions between characters and objects in various locations, requiring models to distinguish important information from irrelevant details. The tasks vary in complexity and reasoning aspects, with test samples potentially containing millions of tokens. The benchmark aims to challenge and assess the capabilities of Large Language Models (LLMs) in handling complex, long-context information.

Awesome-ChatTTS is an official recommended guide for ChatTTS beginners, compiling common questions and related resources. It provides a comprehensive overview of the project, including official introduction, quick experience options, popular branches, parameter explanations, voice seed details, installation guides, FAQs, and error troubleshooting. The repository also includes video tutorials, discussion community links, and project trends analysis. Users can explore various branches for different functionalities and enhancements related to ChatTTS.

Mercury is a code efficiency benchmark designed for code synthesis tasks. It includes 1,889 programming tasks of varying difficulty levels and provides test case generators for comprehensive evaluation. The benchmark aims to assess the efficiency of large language models in generating code solutions.

RAVE is a variational autoencoder for fast and high-quality neural audio synthesis. It can be used to generate new audio samples from a given dataset, or to modify the style of existing audio samples. RAVE is easy to use and can be trained on a variety of audio datasets. It is also computationally efficient, making it suitable for real-time applications.

The stability-sdk is a Python package that provides a client implementation for interacting with the Stability API. This API allows users to generate images, upscale images, and animate images using a variety of different models and settings. The stability-sdk makes it easy to use the Stability API from Python code, and it provides a number of helpful features such as command line usage, support for multiple models, and the ability to filter artifacts by type.

Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmentation is to create new training samples from the existing data.

This repository contains sample applications showcasing the use of AWS Generative AI CDK Constructs to build solutions for document exploration, content generation, image description, and deploying various models on SageMaker. It also includes samples for deploying Amazon Bedrock Agents and automating contract compliance analysis. The samples cover a range of backend and frontend technologies such as TypeScript, Python, and React.

EvalPlus is a rigorous evaluation framework for LLM4Code, providing HumanEval+ and MBPP+ tests to evaluate large language models on code generation tasks. It offers precise evaluation and ranking, coding rigorousness analysis, and pre-generated code samples. Users can use EvalPlus to generate code solutions, post-process code, and evaluate code quality. The tool includes tools for code generation and test input generation using various backends.

This repository provides code samples in Python, C#, REST, and JavaScript for vector support in Azure AI Search. It includes demos for various languages showcasing vectorization of data, creating indexes, and querying vector data. Additionally, it offers tools like Azure AI Search Lab for experimenting with AI-enabled search scenarios in Azure and templates for deploying custom chat-with-your-data solutions. The repository also features documentation on vector search, hybrid search, creating and querying vector indexes, and REST API references for Azure AI Search and Azure OpenAI Service.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

The GenAI repository contains pipelines that implement image and text generation tasks. The implementation uses OpenVINO capabilities to optimize the pipelines. Each sample covers a family of models and suggests certain modifications to adapt the code to specific needs. It includes the following pipelines: 1. Benchmarking script for large language models 2. Text generation C++ samples that support most popular models like LLaMA 2 3. Stable Diffuison (with LoRA) C++ image generation pipeline 4. Latent Consistency Model (with LoRA) C++ image generation pipeline

AI-TOD is a dataset for tiny object detection in aerial images, containing 700,621 object instances across 28,036 images. Objects in AI-TOD are smaller with a mean size of 12.8 pixels compared to other aerial image datasets. To use AI-TOD, download xView training set and AI-TOD_wo_xview, then generate the complete dataset using the provided synthesis tool. The dataset is publicly available for academic and research purposes under CC BY-NC-SA 4.0 license.

MARS5 is a novel English speech model (TTS) developed by CAMB.AI, featuring a two-stage AR-NAR pipeline with a unique NAR component. The model can generate speech for various scenarios like sports commentary and anime with just 5 seconds of audio and a text snippet. It allows steering prosody using punctuation and capitalization in the transcript. Speaker identity is specified using an audio reference file, enabling 'deep clone' for improved quality. The model can be used via torch.hub or HuggingFace, supporting both shallow and deep cloning for inference. Checkpoints are provided for AR and NAR models, with hardware requirements of 750M+450M params on GPU. Contributions to improve model stability, performance, and reference audio selection are welcome.

This repository contains data and code for the experiments in the SummHay paper. It includes publicly released Haystacks in conversational and news domains, along with scripts for running the pipeline, visualizing results, and benchmarking automatic evaluation. The data structure includes topics, subtopics, insights, queries, retrievers, summaries, evaluation summaries, and documents. The pipeline involves scripts for retriever scores, summaries, and evaluation scores using GPT-4o. Visualization scripts are provided for compiling and visualizing results. The repository also includes annotated samples for benchmarking and citation information for the SummHay paper.

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

ELI5 ChatGPT: Explica conceitos complexos de forma simples, incentivando aprendizado e curiosidade em diversos tópicos de maneira acessível.

This GPT will help you recreate your writing voice across multiple tasks. All you need is a prior writing sample (email, blog, article, tweet) and a new task.

Write an Informative Chapter for a Book

是一个可以帮助你撰写核心期刊研究性论文的功能。可以根据你的研究问题、研究目的、研究方法、研究结果和研究结论等信息，为你生成一份符合格式要求和内容要求的研究性论文草稿，包括标题、摘要、关键词、引言、文献综述、研究设计、数据分析、讨论和参考文献等。还可以提供一些参考文献和范文，帮助你完善和优化你的研究性论文。

Generates Angular components based on requirements, with a focus on code-first responses.

Transforms lines into detailed prompts for visual storytelling.

Discover how your writing can shine with a unique and human style. This prompt guides you to create rich and varied texts, surprising with original twists and maintaining coherence and originality. Transform your writing and challenge AI detection tools!

Generate captions for your image and choose the vibe you like.

I generate top 10 PLG strategies in a table format

I generate viral GPT ideas based on your inputs.

Generate your eslint rule

I generate witty trash talk for fantasy football leagues.

Generate dreamy landscapes with silhouette persons

Helps you generate script keyframes, for better experience please visit museclip.ai

I generate tattoo design ideas based on your preferences.

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片

This GPT can generate code for you. For now it creates full-stack apps using Typescript. Just describe the feature you want and you will get a link to the Github code pull request and the live app deployed.

Generate personalized book covers

Generate Good Morning Messages for WhatsApp

I generate catchy product taglines.