Best AI tools for< Feature Store Engineer >

Hopsworks is an AI platform that offers a comprehensive solution for building, deploying, and monitoring machine learning systems. It provides features such as a Feature Store, real-time ML capabilities, and generative AI solutions. Hopsworks enables users to develop and deploy reliable AI systems, orchestrate and monitor models, and personalize machine learning models with private data. The platform supports batch and real-time ML tasks, with the flexibility to deploy on-premises or in the cloud.

JFrog ML is an AI platform designed to streamline AI development from prototype to production. It offers a unified MLOps platform to build, train, deploy, and manage AI workflows at scale. With features like Feature Store, LLMOps, and model monitoring, JFrog ML empowers AI teams to collaborate efficiently and optimize AI & ML models in production.

Shaped is a cloud-based platform that provides APIs and tools for building and deploying ranking systems. It offers a variety of features to help developers quickly and easily create and manage ranking models, including a multi-connector SQL interface, a real-time feature store, and a library of pre-built models. Shaped is designed to be scalable, cost-efficient, and easy to use, making it a great option for businesses of all sizes.

The App Store by Apple is a trusted platform where users can discover and download a wide range of apps for their Apple devices. With nearly two million apps available worldwide, the App Store offers a curated selection of apps that are held to high standards for privacy, security, and content. Users can explore stories, collections, and in-app events, receive personalized suggestions, and enjoy a rich search experience. The platform prioritizes user privacy and security, with strict guidelines for app developers and a dedicated team of reviewers. The App Store also emphasizes the seamless integration of hardware and software to enhance user experiences. With features like instant downloads, secure payments, and easy app management across devices, the App Store aims to provide a safe and user-friendly environment for app discovery and usage.

GPTs.Fan is a comprehensive platform dedicated to GPT designers, providing a wealth of resources and support. It offers a vibrant community forum where designers can connect, share knowledge, and collaborate on projects. Additionally, GPTs.Fan features a curated collection of GPT-related tools, tutorials, and articles, empowering designers to stay up-to-date with the latest advancements in the field.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

Fork.ai is a tool that helps businesses identify technologies used in mobile apps. With Fork.ai, businesses can gain insights into their competitors' tech stacks, identify potential partners, and generate leads. Fork.ai's key features include: - Technology identification: Fork.ai can identify over 1,000 technologies used in mobile apps, including programming languages, frameworks, libraries, and SDKs. - Competitor analysis: Fork.ai provides insights into the technologies used by your competitors, allowing you to identify areas where you can gain a competitive advantage. - Lead generation: Fork.ai can help you generate leads by identifying potential customers who are using specific technologies. - Partnership discovery: Fork.ai can help you identify potential partners who are using complementary technologies.

Xata is a serverless data platform for PostgreSQL that provides a range of features to make application development faster and easier. These features include schema migrations, file attachments, full-text search, branching, and generative AI. Xata is designed to be the ideal database for application development, with a focus on code simplicity and extensibility. It is also built on open source, so developers can collaborate with the community to drive innovative ideas.

The website offers an AI Localization tool for Xcode and App Store Connect, designed to simplify the localization process for developers. It provides features such as instant localization for Xcode projects, seamless App Store Connect integration, high-quality translations powered by OpenAI, and broad compatibility with various platforms. Users can easily localize their apps within minutes, saving time and effort in the localization process.

Dart is the ultimate AI project management tool designed to save time and streamline project management processes. It offers features like task execution, subtask generation, project planning, duplicate detection, roadmaps, calendar views, document storage, meeting notes, integrations with workplace tools, and more. Dart is used by teams across various roles like engineering, product management, leadership, design, and sales to enhance productivity and efficiency in task management. The application leverages AI capabilities to automate tasks, generate reports, and assist in project ideation and execution.

BuildShip is a low-code visual backend builder that allows users to create powerful APIs in minutes. It is powered by AI and offers a variety of features such as pre-built nodes, multimodal flows, and integration with popular AI models. BuildShip is suitable for a wide range of users, from beginners to experienced developers. It is also a great tool for teams who want to collaborate on backend development projects.

WPTurbo is an AI-powered tool designed for WordPress developers to generate code snippets quickly and efficiently. It leverages artificial intelligence to automate the process of writing clean, efficient, and customizable code for custom plugins, theme customization, and adding functionality to WordPress websites. With features like AI code generation, snippets library, projects creation, and seamless integrations, WPTurbo aims to streamline the development process and help developers create high-quality websites with ease.

PromptLeo is a prompt engineering platform designed to empower organizations in effectively applying Generative AI. It offers a simple interface for prompt engineers to create, test, and change prompts, integrating Generative AI into daily workflows without the need to store prompts in text files. With features like prompt templates, feedback loop & iterations, access to multiple models, and a dedicated prompt engineering library, PromptLeo aims to streamline prompt management and versioning, enhance prompt performance tracking, and facilitate collaboration among team members.

Lazy AI is a platform that enables users to build full stack web applications 10 times faster by utilizing AI technology. Users can create and modify web apps with prompts and deploy them to the cloud with just one click. The platform offers a variety of features including AI Component Builder, eCommerce store creation, Crypto Arbitrage Scraper, Text to Speech Converter, Lazy Image to Video generation, PDF Chatbot, and more. Lazy AI aims to streamline the app development process and empower users to leverage AI for various tasks.

H2O.ai is an AI platform that offers a convergence of the world's best predictive and generative AI solutions. It provides end-to-end GenAI platform for air-gapped, on-premises, or cloud VPC deployments, allowing users to own every part of the stack. With features like h2oGPTe, h2oGPT, H2O Danube3, H2O Eval Studio, and GenAI App Store, H2O.ai empowers users to customize and deploy AI models, assess performance, develop safe applications, and more. The platform is known for democratizing AI with automated machine learning and open-source distributed machine learning.

Knit is an AI playground for prompt designers. It provides professional prompt editors with various models, including GPT-4-turbo/vision, Claude-3, Gemini-pro, and more. Users can store, edit, and run their prompts in Knit. It also offers project management features, allowing users to organize prompts with projects, set up projects for different use cases, and collaborate with team members. Knit supports different kinds of models, including OpenAI, Claude, Azure OpenAI, and plans to support more in the future. It allows users to control API parameters, export code instantly, and provides security features such as encryption and version control.

Spelbook is an AI-powered tool that helps you organize, manage, and generate AI prompts. With Spelbook, you can easily create, store, and share your prompts, as well as track your progress and results. Spelbook also provides a variety of features to help you improve your prompt engineering skills, such as a prompt builder, a prompt library, and a community forum.

Kickresume is an AI-powered online resume and cover letter builder that offers a wide range of professionally-designed templates and features to help users create personalized and visually appealing resumes. The platform utilizes artificial intelligence to generate text for resumes and cover letters, providing users with a quick and efficient way to create job application documents. Kickresume also offers a Resume Checker tool to provide instant feedback on resumes, a Personal Website Builder to turn resumes into online portfolios, and an AI Job Interview Questions Generator. With a focus on user experience and customization, Kickresume aims to streamline the job search process and help users stand out in the competitive job market.

JustCall is an AI-powered customer communication platform designed for customer-facing teams. It offers a suite of AI solutions such as Conversation Intelligence, AI Coaching, Automatic Call Scoring, Agent Assist, SMS Copilot, Agent Analytics, Call Transcription, Moment Analysis, and Sentiment Analysis. JustCall helps businesses enhance agent productivity, drive customer delight, and improve overall communication efficiency. The platform integrates with various CRM systems and offers features like Outbound Call Center, Inbound Contact Center, Business Phone System, IVR (Call Menu), Call Forwarding, Sales Dialer, Call Recording, Advanced Analytics, and more. JustCall is trusted by over 6,000 businesses worldwide for its AI-driven communication solutions.

HireFlow.net is an AI-powered platform designed to optimize resumes and enhance job prospects. The website offers a free resume checker that leverages advanced Artificial Intelligence technology to provide personalized feedback and suggestions for improving resumes. Users can also access features such as CV analysis, cover letter and resignation letter generators, and expert insights to stand out in the competitive job market.

QGate-Model is a machine learning meta-model with synthetic data, designed for MLOps and feature store. It is independent of machine learning solutions, with definitions in JSON and data in CSV/parquet formats. This meta-model is useful for comparing capabilities and functions of machine learning solutions, independently testing new versions of machine learning solutions, and conducting various types of tests (unit, sanity, smoke, system, regression, function, acceptance, performance, shadow, etc.). It can also be used for external test coverage when internal test coverage is not available or weak.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

Hopsworks is a data platform for ML with a Python-centric Feature Store and MLOps capabilities. It provides collaboration for ML teams, offering a secure, governed platform for developing, managing, and sharing ML assets. Hopsworks supports project-based multi-tenancy, team collaboration, development tools for Data Science, and is available on any platform including managed cloud services and on-premise installations. The platform enables end-to-end responsibility from raw data to managed features and models, supports versioning, lineage, and provenance, and facilitates the complete MLOps life cycle.

Venice is a derived data storage platform, providing the following characteristics: 1. High throughput asynchronous ingestion from batch and streaming sources (e.g. Hadoop and Samza). 2. Low latency online reads via remote queries or in-process caching. 3. Active-active replication between regions with CRDT-based conflict resolution. 4. Multi-cluster support within each region with operator-driven cluster assignment. 5. Multi-tenancy, horizontal scalability and elasticity within each cluster. The above makes Venice particularly suitable as the stateful component backing a Feature Store, such as Feathr. AI applications feed the output of their ML training jobs into Venice and then query the data for use during online inference workloads.

Ryoma is an AI Powered Data Agent framework that offers a comprehensive solution for data analysis, engineering, and visualization. It leverages cutting-edge technologies like Langchain, Reflex, Apache Arrow, Jupyter Ai Magics, Amundsen, Ibis, and Feast to provide seamless integration of language models, build interactive web applications, handle in-memory data efficiently, work with AI models, and manage machine learning features in production. Ryoma also supports various data sources like Snowflake, Sqlite, BigQuery, Postgres, MySQL, and different engines like Apache Spark and Apache Flink. The tool enables users to connect to databases, run SQL queries, and interact with data and AI models through a user-friendly UI called Ryoma Lab.

h2oGPT is an Apache V2 open-source project that allows users to query and summarize documents or chat with local private GPT LLMs. It features a private offline database of any documents (PDFs, Excel, Word, Images, Video Frames, Youtube, Audio, Code, Text, MarkDown, etc.), a persistent database (Chroma, Weaviate, or in-memory FAISS) using accurate embeddings (instructor-large, all-MiniLM-L6-v2, etc.), and efficient use of context using instruct-tuned LLMs (no need for LangChain's few-shot approach). h2oGPT also offers parallel summarization and extraction, reaching an output of 80 tokens per second with the 13B LLaMa2 model, HYDE (Hypothetical Document Embeddings) for enhanced retrieval based upon LLM responses, a variety of models supported (LLaMa2, Mistral, Falcon, Vicuna, WizardLM. With AutoGPTQ, 4-bit/8-bit, LORA, etc.), GPU support from HF and LLaMa.cpp GGML models, and CPU support using HF, LLaMa.cpp, and GPT4ALL models. Additionally, h2oGPT provides Attention Sinks for arbitrarily long generation (LLaMa-2, Mistral, MPT, Pythia, Falcon, etc.), a UI or CLI with streaming of all models, the ability to upload and view documents through the UI (control multiple collaborative or personal collections), Vision Models LLaVa, Claude-3, Gemini-Pro-Vision, GPT-4-Vision, Image Generation Stable Diffusion (sdxl-turbo, sdxl) and PlaygroundAI (playv2), Voice STT using Whisper with streaming audio conversion, Voice TTS using MIT-Licensed Microsoft Speech T5 with multiple voices and Streaming audio conversion, Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion, AI Assistant Voice Control Mode for hands-free control of h2oGPT chat, Bake-off UI mode against many models at the same time, Easy Download of model artifacts and control over models like LLaMa.cpp through the UI, Authentication in the UI by user/password via Native or Google OAuth, State Preservation in the UI by user/password, Linux, Docker, macOS, and Windows support, Easy Windows Installer for Windows 10 64-bit (CPU/CUDA), Easy macOS Installer for macOS (CPU/M1/M2), Inference Servers support (oLLaMa, HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic), OpenAI-compliant, Server Proxy API (h2oGPT acts as drop-in-replacement to OpenAI server), Python client API (to talk to Gradio server), JSON Mode with any model via code block extraction. Also supports MistralAI JSON mode, Claude-3 via function calling with strict Schema, OpenAI via JSON mode, and vLLM via guided_json with strict Schema, Web-Search integration with Chat and Document Q/A, Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently), Evaluate performance using reward models, and Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

Vertex AI is a platform for end-to-end model development. It consist of core components that make the processes of MLOps possible for design patterns of all types.

The Google Cloud Vertex AI sample repository contains notebooks and community content that demonstrate how to develop and manage ML workflows using Google Cloud Vertex AI.

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.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

Gemini ChatUp is a chat application utilizing the Google GeminiPro API Key. It supports responsive layout and can store multiple sets of conversations with customizable parameters for each set. Users can log in with a test account or provide their own API Key to deploy the feature. The application also offers user authentication through Edge config in Vercel, allowing users to add usernames and passwords in JSON format. Local deployment is possible by installing dependencies, setting up environment variables, and running the application locally.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

ChatDev IDE is a tool for building your AI agent, Whether it's NPCs in games or powerful agent tools, you can design what you want for this platform. It accelerates prompt engineering through **JavaScript Support** that allows implementing complex prompting techniques.

MaixPy is a Python SDK that enables users to easily create AI vision projects on edge devices. It provides a user-friendly API for accessing NPU, making it suitable for AI Algorithm Engineers, STEM teachers, Makers, Engineers, Students, Enterprises, and Contestants. The tool supports Python programming, MaixVision Workstation, AI vision, video streaming, voice recognition, and peripheral usage. It also offers an online AI training platform called MaixHub. MaixPy is designed for new hardware platforms like MaixCAM, offering improved performance and features compared to older versions. The ecosystem includes hardware, software, tools, documentation, and a cloud platform.

Helps you create feature stories for your products.

Create professional grade feature stories with user inputs

Expert on RetailCentral, explaining its features for retail enhancement.

Discusses Monero's features and role in digital currency.

A helper for indie game developers in story, design, mechanics, coding, and marketing.

Comprehensive, adaptive, multi-featured ASVAB study assistant

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This GPT writes tickets for software features. It uses Gherkin to specify scenarios. @cxmacedo

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

SEO Expert in Product Feature Optimization. Specializes in crafting detailed, SEO-enhanced lists that highlight unique selling points for optimal search visibility. Balances technical SEO with user engagement, providing clear, accurate, relevant lists for immediate use.

Creates Reforge framework feature maps in tabular format.

Guides on GPT Builder's Action feature and API usage

Guides through product feature development and spec writing

All things money. Feature in testing: Reports with memory system. ZERO SHOT REPORTS V0.3 (BETA)

Your article formatting expert with Word download link feature.

A guide for creating GPT apps with a new monetization feature.

Crypto Software Tool Tips - Specializes in crypto activity guides (Send feedback or NEW Feature requests emails via chatgpt or email directly to [email protected] to be eligible for FREE cryptos & NFTs draws) Congratulations To Rita on winning!-> Note: New Features Released Weekly

Live translation between two users speaking different languages - This GPT is designed for the voice feature in the OpenAI App

Adds Hogwarts magic to photos, with interactive Sorting Hat feature.

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.