Best AI tools for< Create Datasets >

SuperAnnotate is an AI data platform that simplifies and accelerates model-building by unifying the AI pipeline. It enables users to create, curate, and evaluate datasets efficiently, leading to the development of better models faster. The platform offers features like connecting any data source, building customizable UIs, creating high-quality datasets, evaluating models, and deploying models seamlessly. SuperAnnotate ensures global security and privacy measures for data protection.

Lobe is a machine learning tool that helps users easily train machine learning models and deploy them to any platform. It offers a user-friendly interface for creating image-based datasets and provides starter projects for iOS, Android, web, and REST API development. Lobe aims to simplify the machine learning process for both beginners and experienced developers.

Inspect is an open-source framework for large language model evaluations created by the UK AI Safety Institute. It provides built-in components for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Users can explore various solvers, tools, scorers, datasets, and models to create advanced evaluations. Inspect supports extensions for new elicitation and scoring techniques through Python packages.

Unsloth is an AI tool designed to make finetuning large language models like Llama-3, Mistral, Phi-3, and Gemma 2x faster, use 70% less memory, and with no degradation in accuracy. The tool provides documentation to help users navigate through training their custom models, covering essentials such as installing and updating Unsloth, creating datasets, running, and deploying models. Users can also integrate third-party tools and utilize platforms like Google Colab.

Roboflow is a platform that provides tools for building and deploying computer vision models. It offers a range of features, including data annotation, model training, and deployment. Roboflow is used by over 250,000 engineers to create datasets, train models, and deploy to production.

Sightwise GmbH offers an end-to-end machine vision solution powered by synthetic data. Their modular software platform is designed for manufacturing companies to enhance visual quality assurance. By leveraging synthetic data, they create tailored datasets and applications for various inspection tasks, overcoming the limitations of traditional AI. The platform enables easy data management, dataset generation, application deployment, and continuous improvements, ultimately helping manufacturers achieve top-tier product quality.

syntheticAIdata is a platform that provides synthetic data for training vision AI models. Synthetic data is generated artificially, and it can be used to augment existing real-world datasets or to create new datasets from scratch. syntheticAIdata's platform is easy to use, and it can be integrated with leading cloud platforms. The company's mission is to make synthetic data accessible to everyone, and to help businesses overcome the challenges of acquiring high-quality data for training their vision AI models.

Syntho is a self-service AI-generated synthetic data platform that offers a comprehensive solution for generating synthetic data for various purposes. It provides tools for de-identification, test data management, rule-based synthetic data generation, data masking, and more. With a focus on privacy and accuracy, Syntho enables users to create synthetic data that mirrors real production data while ensuring compliance with regulations and data privacy standards. The platform offers a range of features and use cases tailored to different industries, including healthcare, finance, and public organizations.

FinetuneDB is an AI fine-tuning platform that allows users to easily create and manage datasets to fine-tune LLMs, evaluate outputs, and iterate on production data. It integrates with open-source and proprietary foundation models, and provides a collaborative editor for building datasets. FinetuneDB also offers a variety of features for evaluating model performance, including human and AI feedback, automated evaluations, and model metrics tracking.

Muse AI is an advanced AI art generator that utilizes neural networks trained on massive image datasets to create unique digital artwork based on text prompts. Users can easily turn their ideas into stunning visuals by entering detailed descriptions and selecting a style. Muse AI offers a stable user experience and provides full control over the aesthetic, allowing for the generation of unlimited original AI art in various styles. The application excels in converting text to images and offers a variety of models for diverse creative needs.

Macgence is an AI training data services platform that offers high-quality off-the-shelf structured training data for organizations to build effective AI systems at scale. They provide services such as custom data sourcing, data annotation, data validation, content moderation, and localization. Macgence combines global linguistic, cultural, and technological expertise to create high-quality datasets for AI models, enabling faster time-to-market across the entire model value chain. With more than 5 years of experience, they support and scale AI initiatives of leading global innovators by designing custom data collection programs. Macgence specializes in handling AI training data for text, speech, image, and video data, offering cognitive annotation services to unlock the potential of unstructured textual data.

Avanzai is a workflow automation tool designed specifically for financial services. It utilizes AI agents to transform financial datasets into actionable insights, simplifying financial data analysis for institutions. Users can build charts with public data, create agents for data customization, and transform data quickly with Avanzai's services. The tool offers features such as macro analysis, instrument screening, risk analytics, and factor modeling. Avanzai provides a simple pricing structure for professional and enterprise users, allowing access to a wide range of financial data and integration options.

Shaip is a human-powered data processing service specializing in AI and ML models. They offer a wide range of services including data collection, annotation, de-identification, and more. Shaip provides high-quality training data for various AI applications, such as healthcare AI, conversational AI, and computer vision. With over 15 years of expertise, Shaip helps organizations unlock critical information from unstructured data, enabling them to achieve better results in their AI initiatives.

FastShot AI is a fast and free headshot generator application that utilizes advanced AI technology to create personalized digital portraits in under 30 seconds. Users can generate their AI headshots instantly with just one photo, with the first 2 headshots being free. The application offers lightning-fast processing, various customization options for clothing and backdrop, and different quality settings. FastShot AI provides a convenient and cost-effective solution for creating professional headshots without the need for extensive training datasets.

3DFY.ai is a generative AI platform that enables users to create high-quality 3D models from text descriptions. The platform is designed to be accessible to both individual creators and businesses, and it offers a range of services including a text-to-3D web service, an API for enterprise integrations, and a massive 3D dataset generation service. 3DFY.ai's technology is based on a proprietary AI-powered 3D generation pipeline that produces models adhering to high quality standards. The platform is designed to be scalable and efficient, and it can be used to create a wide range of 3D models for a variety of applications.

Datagen is a platform that provides synthetic data for computer vision. Synthetic data is artificially generated data that can be used to train machine learning models. Datagen's data is generated using a variety of techniques, including 3D modeling, computer graphics, and machine learning. The company's data is used by a variety of industries, including automotive, security, smart office, fitness, cosmetics, and facial applications.

Kiln is an AI tool designed for fine-tuning LLM models, generating synthetic data, and facilitating collaboration on datasets. It offers intuitive desktop apps, zero-code fine-tuning for various models, interactive visual tools for data generation, Git-based version control for datasets, and the ability to generate various prompts from data. Kiln supports a wide range of models and providers, provides an open-source library and API, prioritizes privacy, and allows structured data tasks in JSON format. The tool is free to use and focuses on rapid AI prototyping and dataset collaboration.

EastBrightMarketing is an AI tool designed to inspire and enhance creativity in individuals. The platform offers a wide range of AI tools and datasets to help users discover, cultivate, and share their creativity. Users can access top AI tools, datasets, and Chrome extensions for various purposes such as productivity, web scraping, note-taking, and screen recording. With a focus on creativity and innovation, EastBrightMarketing aims to empower users to build a fulfilling life through the use of AI technology.

Bonfire is a custom AI chatbot platform that offers personalized concierge experiences for users. It allows companies to build enterprise-grade chatbots trained on their unique datasets, enhancing customer interactions and user engagement rates. The platform supports over 100 languages and offers features such as personalized product recommendations, lead scoring, file attachments, and customized user journeys. Bonfire replicates human conversation through its Adaptive Learning Technology, requiring no coding for integration. The platform securely stores data in a cloud-based system and allows integration of various structured and unstructured datasets.

Ai Drawing Generator is a free online tool that revolutionizes drawing generation with AI. It introduces ControlNet, a neural network structure designed to enhance pretrained large diffusion models by incorporating additional input conditions. The tool enables users to convert scribbled drawings into detailed images through deep learning algorithms. It is adaptable for training on personal devices and can handle large datasets ranging from millions to billions. Ai Drawing Generator provides experimental compatibility with various diffusion models, offering users flexibility in choosing models based on their specific needs and preferences.

Cyclops is a toolkit for facilitating research and deployment of ML models for healthcare. It provides a few high-level APIs namely: data - Create datasets for training, inference and evaluation. We use the popular 🤗 datasets to efficiently load and slice different modalities of data models - Use common model implementations using scikit-learn and PyTorch tasks - Use common ML task formulations such as binary classification or multi-label classification on tabular, time-series and image data evaluate - Evaluate models on clinical prediction tasks monitor - Detect dataset shift relevant for clinical use cases report - Create model report cards for clinical ML models

RAG Foundry is a library designed to enhance Large Language Models (LLMs) by fine-tuning models on RAG-augmented datasets. It helps create training data, train models using parameter-efficient finetuning (PEFT), and measure performance using RAG-specific metrics. The library is modular, customizable using configuration files, and facilitates prototyping with various RAG settings and configurations for tasks like data processing, retrieval, training, inference, and evaluation.

UHGEval is a comprehensive framework designed for evaluating the hallucination phenomena. It includes UHGEval, a framework for evaluating hallucination, XinhuaHallucinations dataset, and UHGEval-dataset pipeline for creating XinhuaHallucinations. The framework offers flexibility and extensibility for evaluating common hallucination tasks, supporting various models and datasets. Researchers can use the open-source pipeline to create customized datasets. Supported tasks include QA, dialogue, summarization, and multi-choice tasks.

AgentNeo is a Python package that provides functionalities for project, trace, dataset, experiment management. It allows users to authenticate, create projects, trace agents and LangGraph graphs, manage datasets, and run experiments with metrics. The tool aims to streamline AI project management and analysis by offering a comprehensive set of features.

RAG-FiT is a library designed to improve Language Models' ability to use external information by fine-tuning models on specially created RAG-augmented datasets. The library assists in creating training data, training models using parameter-efficient finetuning (PEFT), and evaluating performance using RAG-specific metrics. It is modular, customizable via configuration files, and facilitates fast prototyping and experimentation with various RAG settings and configurations.

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.

RagaAI Catalyst is a comprehensive platform designed to enhance the management and optimization of LLM projects. It offers features such as project management, dataset management, evaluation management, trace management, prompt management, synthetic data generation, and guardrail management. These functionalities enable efficient evaluation and safeguarding of LLM applications.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

The 'ollama-ebook-summary' repository is a Python project that creates bulleted notes summaries of books and long texts, particularly in epub and pdf formats with ToC metadata. It automates the extraction of chapters, splits them into ~2000 token chunks, and allows for asking arbitrary questions to parts of the text for improved granularity of response. The tool aims to provide summaries for each page of a book rather than a one-page summary of the entire document, enhancing content curation and knowledge sharing capabilities.

Browser Use is a tool designed to make websites accessible for AI agents. It provides an easy way to connect AI agents with the browser, enabling users to perform tasks such as extracting vision and HTML elements, managing multiple tabs, and executing custom actions. The tool supports various language models and allows users to parallelize multiple agents for efficient processing. With features like self-correction and the ability to register custom actions, Browser Use offers a versatile solution for interacting with web content using AI technology.

This repository contains convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language (that isn't English). The rationale behind this is that LLaMa3 is trained on primarily English data and while it works to some extent for other languages, its performance is poor compared to English.

This tool is a fork of the 3D Gaussian Splatting code. It allows users to create a dataset ready to be trained with the Gaussian Splatting code. The dataset can be used for various experiments, such as creating orthogonal images, steganography, and lenticular effects. The tool also includes a visualizer that allows users to visualize the "painting" process during the Gaussian Splatting optimization.

PremSQL is an open-source library designed to help developers create secure, fully local Text-to-SQL solutions using small language models. It provides essential tools for building and deploying end-to-end Text-to-SQL pipelines with customizable components, ideal for secure, autonomous AI-powered data analysis. The library offers features like Local-First approach, Customizable Datasets, Robust Executors and Evaluators, Advanced Generators, Error Handling and Self-Correction, Fine-Tuning Support, and End-to-End Pipelines. Users can fine-tune models, generate SQL queries from natural language inputs, handle errors, and evaluate model performance against predefined metrics. PremSQL is extendible for customization and private data usage.

Bonito is an open-source model for conditional task generation, converting unannotated text into task-specific training datasets for instruction tuning. It is a lightweight library built on top of Hugging Face `transformers` and `vllm` libraries. The tool supports various task types such as question answering, paraphrase generation, sentiment analysis, summarization, and more. Users can easily generate synthetic instruction tuning datasets using Bonito for zero-shot task adaptation.

Flo AI is a Python framework that enables users to build production-ready AI agents and teams with minimal code. It allows users to compose complex AI architectures using pre-built components while maintaining the flexibility to create custom components. The framework supports composable, production-ready, YAML-first, and flexible AI systems. Users can easily create AI agents and teams, manage teams of AI agents working together, and utilize built-in support for Retrieval-Augmented Generation (RAG) and compatibility with Langchain tools. Flo AI also provides tools for output parsing and formatting, tool logging, data collection, and JSON output collection. It is MIT Licensed and offers detailed documentation, tutorials, and examples for AI engineers and teams to accelerate development, maintainability, scalability, and testability of AI systems.

LLMOps with Prompt flow is a template and guidance for building LLM-infused apps using Prompt flow. It provides centralized code hosting, lifecycle management, variant and hyperparameter experimentation, A/B deployment, many-to-many dataset/flow relationships, multiple deployment targets, comprehensive reporting, BYOF capabilities, configuration-based development, local prompt experimentation and evaluation, endpoint testing, and optional Human-in-loop validation. The tool is customizable to suit various application needs.

This repository contains Airflow DAGs for extracting, transforming, and loading (ETL) data from the Ethereum blockchain into BigQuery. The DAGs use the Google Cloud Platform (GCP) services, including BigQuery, Cloud Storage, and Cloud Composer, to automate the ETL process. The repository also includes scripts for setting up the GCP environment and running the DAGs locally.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

Your Power BI assistant for dataset creation, DAX, report review, design, and more... [Updated version].

Analyze and interpret datasets on Dutch SaaS companies' employee growth. Created by [E-commercemanagers.com](https://e-commercemanagers.com).

Upload your dataset, and I'll assist with feature engineering.

First, please say "Create an agent team to do 〇〇." / 最初に「〇〇をするためのエージェントチームを作成してください」とお伝え下さい

Let's get started by telling me about your business: What do you offer? Who do you serve? ------------------------------------------------------- Need help Prompt Engineering? Reach out on LinkedIn: StephenHnilica

AI tool for designing engaging, trendy Pinterest pins.

Generates 3D stereogram pairs for parallel viewing.

2500+ word stories in target language with images, for language learning.

Level up Now. Upload a selfie for some superhero flair. Create a backstory. Select a superpower, arch-villain, and crew. Answer trivia. Pow!

Tell me about your situation and the type of prayer you would like

利用专业的周易知识和命理知识进行头像设计 Generates and explains lucky profile pictures based on I Ching, zodiac.

创建你自己的数字人形象，Sponsor：小红书“ItsJoe就出行”

I'll recreate a competitor website for your business

Create a very detailed prompt from the image. 画像からめっちゃ詳細なプロンプトを作成します。まずは解析して欲しい画像を送ってみてください。

1) Input a URL, attachment, or copy/paste a bunch of info about your biz. 2) I will return a summary of what's important. 3) Use what I give you for other prompts, e.g.: marketing strategy, content ideas, competitive analysis, etc

Create a Mythological Creature for playing with imagination and possibilities

Autonomously creates complete TikTok scenarios with images.

Simulates advisory board meetings with investors. Get generated advice for your startup from a GPT educated by domain experts.

Advisor for hairstyles, top products, and salon recommendations matched with your hair type and location.

Replicate Image, Images Mergeve, Imaginative Edit, Style Transfer. Use "Help" for more info. 20+ features of the source image will be transferred. You also can call this GPT via @ in any chat (desktop only).