Best AI tools for< Mix Datasets >

Songmastr is an automatic song mastering tool that uses artificial intelligence to master your songs to sound like a reference track. It's free to use for up to 7 songs per week, and you can master songs up to 10 minutes in length and 80MB in size. Songmastr is based on the open source library Matchering, and it uses the same RMS, FR, peak amplitude, and stereo width as the reference song you choose.

Prescient AI is a media/marketing mix modeling (MMM) tool that revolutionizes media analytics with advanced AI solutions. It maximizes ad campaign revenue by providing industry-leading MMM insights at channel- and campaign-level. The tool is built on cutting-edge machine learning, AI, and statistical expertise, offering AI-powered simulation for profit optimization. With Prescient AI, users can pinpoint optimal spend for each campaign, achieve the highest possible ROI, and receive critical insights from seasoned experts in just 10 minutes of onboarding.

Fontjoy is a tool that helps users generate font pairings with one click. It simplifies the process of creating balanced contrast font combinations by using deep learning algorithms. Users can easily create new font pairings, lock fonts they like, and manually choose fonts. The tool aims to assist users in selecting fonts that complement each other and create a visually appealing design.

Ideta is a comprehensive suite of AI-powered tools designed to automate various tasks and enhance customer interactions. It offers a range of products, including live chat, AI chatbots, AI community managers, AI assistants for LinkedIn, and webhooks. These tools enable businesses to streamline their operations, improve customer engagement, and focus on more strategic initiatives.

Audacity is a free and open-source audio editing and recording software that runs on Windows, macOS, GNU/Linux, and other operating systems. It is popular for its ease of use, multi-track editing capabilities, and support for a wide range of audio formats. Audacity can be used for a variety of tasks, including recording and editing podcasts, music, and other audio content. It also supports a variety of plugins, which can extend its functionality even further.

Dawn AI is an AI application that allows users to create infinite versions of themselves through AI avatars. Users can upload their selfies to the app, train the AI, and generate unique AI avatars with various styles such as Vampire, Mermaid, Anime, and more. The app provides a fun and user-friendly interface for creating stunning self-portraits and artistic images. Dawn AI offers a glimpse into the future of AI-driven art technology, making it an exciting tool for artistic expression and creativity.

Output is the ultimate creative software for music makers, offering a range of tools and plugins to supercharge music production. With Output Arcade as the flagship product, musicians can access a powerful sampler and instrument plugin, along with FX plugins and Kontakt Instruments to transform their sound. The platform also introduces AI capabilities through features like Pack Generator, providing cutting-edge software for musicians to enhance their creativity and production workflow. Output aims to simplify the music-making process and empower artists to focus on their craft.

Outfits AI is an AI-powered application that allows users to virtually try on different outfits using advanced artificial intelligence technology. With a user-friendly interface, the application enables over 100,000 happy users to experiment with various clothing styles and combinations effortlessly. Whether you are looking for a new look or simply want to explore different outfit ideas, Outfits AI provides a fun and interactive platform to enhance your fashion experience.

karaok-AI is an open-source karaoke Player / Editor with automatic clip creation from any song file using vocals and lyrics extraction (Speech-to-Text). It uses WhisperHallu and WhisperTimeSync to extract vocals and lyrics. karaok-AI also includes kaiDJ, a minimalist and easy-to-use DJ Party Player with multi-sound cards support, two players with auto-mix between songs, and a pre-listen player. It can index thousands of songs in a single efficient database and allows for direct search and selection over all songs. Additionally, it offers playlist management with nested groups and the ability to open and save m3u and m3u8 playlists while keeping group definitions.

Musicfy is an AI-powered music creation platform that allows users to create music using their own voice or other voices. It offers a range of features such as AI voice artists, stem splitters, and the ability to create your own AI model. Musicfy is designed to make music creation easier and more accessible for everyone, regardless of their musical background or skill level.

Artbreeder is an AI-powered platform that allows users to create characters, artworks, and more using multiple tools. With over 10 million users and 250 million images, Artbreeder offers tools like Composer for mixing images and text, Collager for creating images from simple shapes, and more. It fosters a unique network of creative collaboration where all images can be remixed by anyone, turning users into part of a creative super-organism.

Flair.ai is an AI-powered design tool that helps businesses create stunning product photoshoots in seconds. With Flair.ai, you can drag and drop to generate product shots, stage scenes digitally, mix and match products with templates, and build reusable templates at scale. Flair.ai also offers a range of features to help you iterate on designs fast, collaborate with team members, and scale your design with API.

Audimee is an AI-powered application that offers unlimited vocals and creative freedom to users. With Audimee, users can convert vocals using royalty-free voices, train their own voices, create copyright-free cover vocals, and more. The application utilizes a reworked RVC model and superior studio recordings to provide users with high-quality and dynamic human-like voices. Audimee is designed to handle a wider range of pitches and produce fewer detectable AI artifacts, setting a new standard in vocal conversion technology.

RipX DAW is an AI-powered digital audio workstation (DAW) that allows users to edit notes in the mix, replace sounds, and separate stems. It is designed to assist musicians and producers in creating and editing music using AI-generated samples and loops. RipX DAW is known for its advanced features such as 6+ stem separation, sound replacement menu, and the ability to edit notes in the mix.

IA Hispano is a platform that provides tools and resources for creating music. It offers a variety of features, including a music editor, a sound library, and a community forum. IA Hispano is designed to be easy to use, even for beginners, and it provides a great way to learn about music production.

SRVO is a voice over service that provides high-quality, professional voice overs for a variety of purposes, including commercials, e-learning, and audiobooks. With a team of experienced voice actors and a state-of-the-art recording studio, SRVO can create custom voice overs that meet the specific needs of each client. SRVO also offers a variety of additional services, such as scriptwriting, audio editing, and mixing.

Auphonic is an AI-powered audio post-production web tool designed to help users achieve professional-quality audio results effortlessly. It offers a range of features such as Intelligent Leveler, Noise & Reverb Reduction, Filtering & AutoEQ, Cut Filler Words and Silence, Multitrack Algorithms, Loudness Specifications, Speech2Text & Automatic Shownotes, Video Support, Metadata & Chapters, and more. Auphonic is widely used by podcasters, educators, content creators, and audiobook producers to enhance their audio content and streamline their workflows. With its intuitive interface and advanced algorithms, Auphonic simplifies the audio editing process and ensures consistent audio quality across different platforms.

Music AI is an AI audio platform that offers state-of-the-art ethical AI solutions for audio and music applications. It provides a wide range of tools and modules for tasks such as stem separation, transcription, mixing, mastering, content generation, effects, utilities, classification, enhancement, style transfer, and more. The platform aims to streamline audio processing workflows, enhance creativity, improve accuracy, increase engagement, and save time for music professionals and businesses. Music AI prioritizes data security, privacy, and customization, allowing users to build custom workflows with over 50 AI modules.

Harmonai.org is a Stability AI Lab that develops open-source generative audio tools to make music production more accessible and enjoyable for everyone. The platform empowers artists by providing them with the ability to generate their own custom infinite sound libraries, fostering creativity without limitations.

Overtune is a simple beatmaker for singer-songwriters. It allows users to easily arrange beats, record vocals with real-time voice effects and AI filters, and explore an extensive collection of themed sounds. Users can also export the master and stems, while securing distribution rights.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

LLMBox is a comprehensive library designed for implementing Large Language Models (LLMs) with a focus on a unified training pipeline and comprehensive model evaluation. It serves as a one-stop solution for training and utilizing LLMs, offering flexibility and efficiency in both training and utilization stages. The library supports diverse training strategies, comprehensive datasets, tokenizer vocabulary merging, data construction strategies, parameter efficient fine-tuning, and efficient training methods. For utilization, LLMBox provides comprehensive evaluation on various datasets, in-context learning strategies, chain-of-thought evaluation, evaluation methods, prefix caching for faster inference, support for specific LLM models like vLLM and Flash Attention, and quantization options. The tool is suitable for researchers and developers working with LLMs for natural language processing tasks.

Dolma is a dataset and toolkit for curating large datasets for (pre)-training ML models. The dataset consists of 3 trillion tokens from a diverse mix of web content, academic publications, code, books, and encyclopedic materials. The toolkit provides high-performance, portable, and extensible tools for processing, tagging, and deduplicating documents. Key features of the toolkit include built-in taggers, fast deduplication, and cloud support.

Robyn is an experimental, semi-automated and open-sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. It uses various machine learning techniques to define media channel efficiency and effectivity, explore adstock rates and saturation curves. Built for granular datasets with many independent variables, especially suitable for digital and direct response advertisers with rich data sources. Aiming to democratize MMM, make it accessible for advertisers of all sizes, and contribute to the measurement landscape.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

MMOS (Mix of Minimal Optimal Sets) is a dataset designed for math reasoning tasks, offering higher performance and lower construction costs. It includes various models and data subsets for tasks like arithmetic reasoning and math word problem solving. The dataset is used to identify minimal optimal sets through reasoning paths and statistical analysis, with a focus on QA-pairs generated from open-source datasets. MMOS also provides an auto problem generator for testing model robustness and scripts for training and inference.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

Eagle is a family of Vision-Centric High-Resolution Multimodal LLMs that enhance multimodal LLM perception using a mix of vision encoders and various input resolutions. The model features a channel-concatenation-based fusion for vision experts with different architectures and knowledge, supporting up to over 1K input resolution. It excels in resolution-sensitive tasks like optical character recognition and document understanding.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

MeloTTS is a high-quality multi-lingual text-to-speech library by MyShell.ai. It supports various languages including English (American, British, Indian, Australian), Spanish, French, Chinese, Japanese, and Korean. The Chinese speaker also supports mixed Chinese and English. The library is fast enough for CPU real-time inference and offers features like using without installation, local installation, and training on custom datasets. The Python API and model cards are available in the repository and on HuggingFace. The community can join the Discord channel for discussions and collaboration opportunities. Contributions are welcome, and the library is under the MIT License. MeloTTS is based on TTS, VITS, VITS2, and Bert-VITS2.

This repository contains code and configurations for the LLM - Detect AI Generated Text competition. It includes setup instructions for hardware, software, dependencies, and datasets. The training section covers scripts and configurations for training LLM models, DeBERTa ranking models, and an embedding model. Text generation section details fine-tuning LLMs using the CLM objective on the PERSUADE corpus to generate student-like essays.

Recommenders is a project under the Linux Foundation of AI and Data that assists researchers, developers, and enthusiasts in prototyping, experimenting with, and bringing to production a range of classic and state-of-the-art recommendation systems. The repository contains examples and best practices for building recommendation systems, provided as Jupyter notebooks. It covers tasks such as preparing data, building models using various recommendation algorithms, evaluating algorithms, tuning hyperparameters, and operationalizing models in a production environment on Azure. The project provides utilities to support common tasks like loading datasets, evaluating model outputs, and splitting training/test data. It includes implementations of state-of-the-art algorithms for self-study and customization in applications.

Vision-LLM-Alignment is a repository focused on implementing alignment training for visual large language models (LLMs), including SFT training, reward model training, and PPO/DPO training. It supports various model architectures and provides datasets for training. The repository also offers benchmark results and installation instructions for users.

This repository contains the code to prepare the data for the Amber 7B language model. The final training data comes from three sources: RedPajama V1, RefinedWeb, and StarCoderData. The data preparation involves downloading untokenized data, tokenizing the data using the Huggingface tokenizer, concatenating tokens into 2048 token sequences, merging datasets, and splitting the merged dataset into 360 chunks. Each tokenized data chunk is a jsonl file containing samples with 2049 tokens. The repository provides scripts for downloading datasets, tokenizing and concatenating sequences, validating data, and merging subsets into chunks.

LLaMa2lang is a repository containing convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language that isn't English. The repository aims to improve the performance of LLaMa3 for non-English languages by combining fine-tuning with RAG. Users can translate datasets, extract threads, turn threads into prompts, and finetune models using QLoRA and PEFT. Additionally, the repository supports translation models like OPUS, M2M, MADLAD, and base datasets like OASST1 and OASST2. The process involves loading datasets, translating them, combining checkpoints, and running inference using the newly trained model. The repository also provides benchmarking scripts to choose the right translation model for a target language.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

CareGPT is a medical large language model (LLM) that explores medical data, training, and deployment related research work. It integrates resources, open-source models, rich data, and efficient deployment methods. It supports various medical tasks, including patient diagnosis, medical dialogue, and medical knowledge integration. The model has been fine-tuned on diverse medical datasets to enhance its performance in the healthcare domain.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

Hello, Mix of Experts here. I can help you solve problems with a round table of experts of different fields.

A mixology expert crafting personalized drink recipes.

最適なシーシャフレーバーの組み合わせを提案します！

Balanced mix of popular and unique hobbies, engaging and informative.

I help you optimize your hotel's OTA distribution Mix

A friendly GPT offering a mix of humor, info, and support.

Adaptable chocolate educator with a mix of humor and expertise.

Play charades, focusing on a mix of topics. Copyright (C) 2023, Sourceduty - All Rights Reserved.

Energetic NY-Italian comedian, I mix slang, politics, and trendy humor!

Balanced guidance on credit cards for young people, with a mix of formal and casual tones

Adaptable Hebrew tutor focusing on grammar, vocabulary, pronunciation, writing, and cultural context, with a mix of formal and informal language.

It acts as an instructor guiding you through music production skills, such as fine-tuning parameters in mixing, mastering, and compression. Additionally, it functions as an aide, offering advice for your music production hurdles with just a screenshot of your production or parameter settings.

Your go-to expert for all things Traktor.

Your personal audio mixing and mastering engineer assistant for music production

Learn how to DJ or improve your DJing skills

I'm an EDM Producer here to help you master electronic music production and mixing!

Expert instructor on Wwise, the game audio middleware

Balances professional-casual tone, offers brief but detailed Ableton advice.

Top-level audio expert in audio engineering for music, and film, with advanced knowledge of recording history, acoustics, gear, and plugins, with a sarcastic touch.

Home studio recording magician, offering equipment, technique, mixing advice, and the occasional spell. Use the Message box at the bottom for your own questions.