Best AI tools for< Split Tracks >

MakeBestMusic is an AI-powered music production suite that allows users to create unique music with just one click using advanced AI technology. The platform offers features such as creating instrumental and vocal music by providing simple descriptive words or lyrics, remixing music by uploading audio files and providing remix descriptions, and splitting music files to extract drums and vocals. MakeBestMusic provides a versatile approach to music creation, catering to both instrumental and vocal preferences with ease. Users can generate dynamic music, remix original audio files, and extract sounds from background music using the powerful AI music tool.

Splitter.ai is an AI-driven audio processing platform developed by a Swedish research company. It offers advanced audio processing technologies, including stem separation/extraction, reverb removal, and direct YouTube splitting. The platform is designed to assist music producers, DJs, artists, forensics engineers, audio engineers, karaoke enthusiasts, police, scientists, and more in enhancing their audio processing tasks. Splitter.ai aims to provide high-quality services through AI-driven solutions to meet the diverse needs of its users.

GenerateSongAI is an advanced AI music production tool that revolutionizes the way music creators generate high-quality songs effortlessly. With GenerateSongAI, users can create fully produced songs with just a simple text description or lyrics, customize music styles, extract vocals and instruments, remix existing audio files, and share their music across social platforms. The platform offers a seamless and intuitive experience for music production, catering to a wide range of users from indie filmmakers to content creators, without the need for technical expertise. GenerateSongAI unlocks endless possibilities for creating songs, limited only by the user's imagination.

SplitSong.com is an AI-powered tool that allows users to split songs into individual instrument tracks. Created by @markdoppler_, the website offers a user-friendly platform where users can upload their songs or extract from YouTube. By leveraging Artificial Intelligence technology, SplitSong.com enables users to download separate tracks for drums, instrumental, bass, and voice, providing a unique and innovative way to interact with music.

LALAL.AI is a next-generation AI-powered vocal remover and music source separation service that offers fast, easy, and precise stem extraction. It allows users to remove vocals, instrumental tracks, drums, bass, guitar, and more from audio and video files without compromising quality. The platform leverages advanced AI technology to provide high-quality stem splitting based on transformer-based audio separation approach, ensuring seamless integration and cross-platform support for individuals and businesses.

Gaudio Studio is an AI music separation tool designed for creators to unleash their creativity with ease. It allows users to extract background music, separate instruments, and remove vocals from any music content. Powered by GSEP (Gaudio source SEParation), a high-quality and easy-to-use AI stem separation model, Gaudio Studio offers a seamless experience for audio separation. Users can upload their songs in various formats, access the tool from desktop or mobile devices, and enjoy Studio Plans for advanced processing. Additionally, Gaudio Studio can be integrated with cloud APIs and On-device SDKs for business applications, offering a versatile solution for music professionals and enthusiasts.

Jamorphosia is an AI-powered application that allows users to remove instruments from a song. With advanced technology and audio separation capabilities, users can easily extract vocals, isolate specific instruments, and create custom backing tracks. The tool transforms audio files into personalized songs, suitable for practice or performance. Jamorphosia enhances the music experience by providing a platform for musicians to engage with original tracks in a more immersive way.

Vocalremover.org is a website that offers a tool to remove vocals from music tracks. Users can upload their audio files and the tool will process them to create a version without vocals. The site aims to provide a simple and efficient solution for musicians, DJs, and music enthusiasts who want to create karaoke tracks or remixes without vocals.

Melody ML is an AI-powered music processing tool that allows users to separate music tracks using machine learning technology. Users can upload songs, and the tool uses AI algorithms to extract vocals, drums, bass, and other instruments into separate stems. Melody ML offers a user-friendly platform for music enthusiasts, producers, and artists to enhance their music production process.

AI Song Maker is an AI music generator platform that allows users to effortlessly create high-quality songs. Users can convert text to song, lyrics to song, and more using cutting-edge AI technology. The tool offers a range of features such as Text to Song, Lyrics to Song, Vocal Remover, Split Music, and Remix Music, designed to streamline the music creation process and inspire creativity. AI Song Maker is user-friendly and accessible to creators of all skill levels, providing a platform to generate unique and engaging music compositions for personal or commercial use.

StemRoller is an AI-powered application that allows users to create stems, instrumental, or acapella versions of any song. Users can simply type the name of a song into the search bar, and StemRoller will find the song online and split it into vocals, drums, bass, and other stems. Additionally, an instrumental track is created with all non-vocal stems mixed down into one track. StemRoller is free and open-source, utilizing Facebook's advanced AI and machine learning research project Demucs. Users can also donate to support the app and receive assistance on Discord for any issues or questions.

Music Demixer is an AI-powered online tool that offers advanced stem separation and automatic music transcription capabilities. Users can effortlessly isolate vocals, drums, bass, melody, guitar, and piano in their music tracks, generate precise MIDI files, scores, and sheet music. The tool is perfect for musicians, DJs, producers, and creators looking for a simple and superior solution for music editing and transcription. With a focus on privacy, Music Demixer operates entirely in the browser without cloud storage. It leverages cutting-edge AI models and technologies from the Sony Music Demixing Challenges to provide high-quality results.

SanptoBook is a personal accounting software designed to help individuals manage their finances efficiently. It offers features such as invoice and receipt management, reimbursement facilitation, tax filing assistance, bill splitting, and project tracking. The application aims to simplify financial tasks and improve overall financial organization for users. With AI-powered efficiency, SnaptoBook provides state-of-the-art receipt recognition technology and secure cloud storage for all receipts.

SplitMyExpenses is an AI-powered application designed to simplify shared expenses with friends. It allows users to create groups, split bills effortlessly, track debts, and settle up using integrated payment apps. The app offers modern design, AI receipt itemization, friend data powered by payment apps, and beautiful spending charts to help users manage their expenses efficiently. With over 150 supported currencies and secure handling of data, SplitMyExpenses revolutionizes the age-old problem of bill splitting, providing users with a stress-free experience.

Rapid Muscle is a science-powered hypertrophy workout generator that offers a cutting-edge platform to accelerate muscle growth. It provides tools like the Hypertrophy Split Generator and Workout Tracker to optimize exercise selection, sequencing, and volume for physique development. The upcoming AI Personal Trainer chatbot enhances user experience by providing expert advice on training-related queries. Rapid Muscle aims to revolutionize hypertrophy programming by offering evidence-based solutions and eliminating contradictory influencer advice.

Cushion is an AI-powered tool designed to simplify bill management and credit building. It securely connects to your accounts, organizes bills, and offers insights to help you budget better. With features like automatic bill tracking, virtual Cushion card payments, and credit history building, Cushion aims to make bill payments painless and credit building seamless.

SendEngage is a B2B cold email platform that uses AI to read, categorize and route interested replies directly to your sales team, at any scale. It offers features such as unlimited inbox rotation, message variation split testing, automated follow-ups, open/reply/sentiment tracking, and AI reply management. With SendEngage, businesses can create high converting, automated email campaigns, manage replies and engage with interested prospects, and hand off interested leads directly to sales reps' main inboxes and map to CRM records.

BigShort is a real-time stock charting platform designed for day traders and swing traders. It offers a variety of features to help traders make informed decisions, including SmartFlow, which visualizes real-time covert Smart Money activity, and OptionFlow, which shows option blocks, sweeps, and splits in real-time. BigShort also provides backtested and forward-tested leading indicators, as well as live data for all NYSE and Nasdaq tickers.

MJSplitter is a free online tool that allows users to split their Midjourney Grid images into single images. Users can either paste or upload their image grid, and the tool will automatically split the images and save them as JPEGs. The tool is not affiliated with Midjourney, and images are deleted from the server after 24 hours.

Doclingo is an AI-powered document translation tool that supports translating documents in various formats such as PDF, Word, Excel, PowerPoint, SRT subtitles, ePub ebooks, AR&ZIP packages, and more. It utilizes large language models to provide accurate and professional translations, preserving the original layout of the documents. Users can enjoy a limited-time free trial upon registration, with the option to subscribe for more features. Doclingo aims to offer high-quality translation services through continuous algorithm improvements.

This repository tracks the latest research on machine unlearning in large language models (LLMs). It offers a comprehensive list of papers, datasets, and resources relevant to the topic.

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.

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.

pytest-evals is a minimalistic pytest plugin designed to help evaluate the performance of Language Model (LLM) outputs against test cases. It allows users to test and evaluate LLM prompts against multiple cases, track metrics, and integrate easily with pytest, Jupyter notebooks, and CI/CD pipelines. Users can scale up by running tests in parallel with pytest-xdist and asynchronously with pytest-asyncio. The tool focuses on simplifying evaluation processes without the need for complex frameworks, keeping tests and evaluations together, and emphasizing logic over infrastructure.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

Dataflow-oriented robotic application (dora-rs) is a framework that makes creation of robotic applications fast and simple. Building a robotic application can be summed up as bringing together hardwares, algorithms, and AI models, and make them communicate with each others. At dora-rs, we try to: make integration of hardware and software easy by supporting Python, C, C++, and also ROS2. make communication low latency by using zero-copy Arrow messages. dora-rs is still experimental and you might experience bugs, but we're working very hard to make it stable as possible.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

Code2Prompt is a powerful command-line tool that generates comprehensive prompts from codebases, designed to streamline interactions between developers and Large Language Models (LLMs) for code analysis, documentation, and improvement tasks. It bridges the gap between codebases and LLMs by converting projects into AI-friendly prompts, enabling users to leverage AI for various software development tasks. The tool offers features like holistic codebase representation, intelligent source tree generation, customizable prompt templates, smart token management, Gitignore integration, flexible file handling, clipboard-ready output, multiple output options, and enhanced code readability.

AIQC is an open source Python package that provides a declarative API for end-to-end MLOps in order to make deep learning more accessible to researchers. It utilizes a SQLite object-relational model for machine learning objects and stacks standardized workflows for various analyses, data types, and libraries. The benefits include a 90% reduction in data wrangling, reproducibility, and no need to install and maintain application and database servers for experiment tracking. AIQC is pip-installable and provides a Dash-Plotly UI for real-time experiment tracking.

Weights & Biases (W&B) is a platform that helps users build better machine learning models faster by tracking and visualizing all components of the machine learning pipeline, from datasets to production models. It offers tools for tracking, debugging, evaluating, and monitoring machine learning applications. W&B provides integrations with popular frameworks like PyTorch, TensorFlow/Keras, Hugging Face Transformers, PyTorch Lightning, XGBoost, and Sci-Kit Learn. Users can easily log metrics, visualize performance, and compare experiments using W&B. The platform also supports hosting options in the cloud or on private infrastructure, making it versatile for various deployment needs.

Lobe Chat Plugins Index is a repository that serves as a collection of various plugins for Function Calling. Users can submit their plugins by following specific instructions. The repository includes a wide range of plugins for different tasks such as image generation, stock analysis, web search, NFT tracking, calendar management, and more. Each plugin is tagged with relevant keywords for easy identification and usage. The repository encourages contributions and provides guidelines for submitting new plugins. It is a valuable resource for developers looking to enhance chatbot functionalities with different plugins.

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

doc2plan is a browser-based application that helps users create personalized learning plans by extracting content from documents. It features a Creator for manual or AI-assisted plan construction and a Viewer for interactive plan navigation. Users can extract chapters, key topics, generate quizzes, and track progress. The application includes AI-driven content extraction, quiz generation, progress tracking, plan import/export, assistant management, customizable settings, viewer chat with text-to-speech and speech-to-text support, and integration with various Retrieval-Augmented Generation (RAG) models. It aims to simplify the creation of comprehensive learning modules tailored to individual needs.

The LLM Twin Course is a free, end-to-end framework for building production-ready LLM systems. It teaches you how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices. The course is split into 11 hands-on written lessons and the open-source code you can access on GitHub. You can read everything and try out the code at your own pace.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

CompressAI-Vision is a tool that helps you develop, test, and evaluate compression models with standardized tests in the context of compression methods optimized for machine tasks algorithms such as Neural-Network (NN)-based detectors. It currently focuses on two types of pipeline: Video compression for remote inference (`compressai-remote-inference`), which corresponds to the MPEG "Video Coding for Machines" (VCM) activity. Split inference (`compressai-split-inference`), which includes an evaluation framework for compressing intermediate features produced in the context of split models. The software supports all the pipelines considered in the related MPEG activity: "Feature Compression for Machines" (FCM).

Tribe AI is a low code tool designed to rapidly build and coordinate multi-agent teams. It leverages the langgraph framework to customize and coordinate teams of agents, allowing tasks to be split among agents with different strengths for faster and better problem-solving. The tool supports persistent conversations, observability, tool calling, human-in-the-loop functionality, easy deployment with Docker, and multi-tenancy for managing multiple users and teams.

The Slack Bot is a tool designed to enhance the workflow of development teams by integrating with Jenkins, GitHub, GitLab, and Jira. It allows for custom commands, macros, crons, and project-specific commands to be implemented easily. Users can interact with the bot through Slack messages, execute commands, and monitor job progress. The bot supports features like starting and monitoring Jenkins jobs, tracking pull requests, querying Jira information, creating buttons for interactions, generating images with DALL-E, playing quiz games, checking weather, defining custom commands, and more. Configuration is managed via YAML files, allowing users to set up credentials for external services, define custom commands, schedule cron jobs, and configure VCS systems like Bitbucket for automated branch lookup in Jenkins triggers.

Step 1: Upload RFP Step 2: Prompt: I need a comprehensive summary of the RFP. Split the summary in multiple blocks / section. After giving me one section wait for my command to move to the next section. Step 3: Prompt: Move to the next section, please :)

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Provides running splits for Strava Routes, accounting for distance and elevation changes

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