Best AI tools for< develop a data model >

Momen is a no-code application development platform that allows users to build custom apps without writing code. It offers a drag-and-drop interface, pre-built components, and integrations with third-party services. Momen is suitable for building a wide range of applications, including websites, mobile apps, and business process automation tools.

Alfatec Elarion is a powerful big data and AI platform that extracts data from any source and transforms it into enlightening information to help users gain deep insights. The platform offers solutions for various industries, including hospitality, insights development, and cyberintelligence. It provides services such as data modeling, loyalty survey analytics, online reputation management, and more. With a focus on data analytics, security, databases, software development, and homeland security, Alfatec Elarion aims to be a comprehensive solution for businesses seeking to leverage data for informed decision-making.

Full Stack AI is a tool that allows users to generate a full-stack Next.js app using an AI CLI. The app will be built with TypeScript, Tailwind, Prisma, Postgres, tRPC, authentication, Stripe, and Resend.

Databricks is a data and AI company that offers a Data Intelligence Platform to help users succeed with AI by developing generative AI applications, democratizing insights, and driving down costs. The platform maintains data lineage, quality, control, and privacy across the entire AI workflow, enabling users to create, tune, and deploy generative AI models. Databricks caters to industry leaders, providing tools and integrations to speed up success in data and AI. The company offers resources such as support, training, and community engagement to help users succeed in their data and AI journey.

InData Labs is a data science and analytics consulting firm that specializes in delivering AI-powered solutions to companies looking to leverage data and machine learning algorithms for business value. The company offers services such as AI consulting, AI software development, data science services, machine learning consulting, and customer experience consulting. InData Labs helps businesses innovate with AI, enrich customer insights, automate processes, and be more cost-efficient. The company's mission is to bring the power of AI to every business by developing new systems, solutions, and products to help clients stand out from their competition.

ConsoleX is an advanced AI tool that offers a wide range of functionalities to unlock infinite possibilities in the field of artificial intelligence. It provides users with a powerful platform to develop, test, and deploy AI models with ease. With cutting-edge features and intuitive interface, ConsoleX is designed to cater to the needs of both beginners and experts in the AI domain. Whether you are a data scientist, researcher, or developer, ConsoleX empowers you to explore the full potential of AI technology and drive innovation in your projects.

GAIA is a powerful creation engine designed for the AI Age. It provides users with advanced tools and capabilities to develop AI applications, machine learning models, and data analytics solutions. With a user-friendly interface and robust features, GAIA empowers individuals and organizations to harness the potential of artificial intelligence for various projects and initiatives. Whether you are a data scientist, developer, or AI enthusiast, GAIA offers a comprehensive platform to bring your ideas to life and drive innovation in the rapidly evolving AI landscape.

Snorkel AI is a data-centric AI application designed for enterprise use. It offers tools and platforms to programmatically label and curate data, accelerate AI development, and build high-quality generative AI applications. The application aims to help users develop AI models 100x faster by leveraging programmatic data operations and domain knowledge. Snorkel AI is known for its expertise in computer vision, data labeling, generative AI, and enterprise AI solutions. It provides resources, case studies, and research papers to support users in their AI development journey.

AutopilotNext is a next-generation software development agency that offers a subscription-based model for unlimited software development. With AutopilotNext, businesses can avoid overspending on costly or unsuitable developers, accelerate development speed, and enhance quality. The agency specializes in various services, including custom AI chatbots, custom websites, custom CRM dashboards, rapid MVP development, workflow automation, software maintenance, and landing page development. AutopilotNext's approach to Rapid MVP Development ensures that businesses can swiftly bring their concepts to market and gather critical insights. The agency also offers Chrome extension development services.

Viso Suite is a no-code computer vision platform that enables users to build, deploy, and scale computer vision applications. It provides a comprehensive set of tools for data collection, annotation, model training, application development, and deployment. Viso Suite is trusted by leading Fortune Global companies and has been used to develop a wide range of computer vision applications, including object detection, image classification, facial recognition, and anomaly detection.

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.

Synthesis AI is a synthetic data platform that enables more capable and ethical computer vision AI. It provides on-demand labeled images and videos, photorealistic images, and 3D generative AI to help developers build better models faster. Synthesis AI's products include Synthesis Humans, which allows users to create detailed images and videos of digital humans with rich annotations; Synthesis Scenarios, which enables users to craft complex multi-human simulations across a variety of environments; and a range of applications for industries such as ID verification, automotive, avatar creation, virtual fashion, AI fitness, teleconferencing, visual effects, and security.

MOSTLY AI is a synthetic data generation platform that provides high-quality, privacy-safe synthetic versions of your datasets for ML, advanced analytics, software testing, and data sharing. With MOSTLY AI, you can generate synthetic data that is statistically similar to your real data, but without the privacy risks. This makes it possible to share data more freely, collaborate more effectively, and develop better AI models.

OGBRAIN is a leading provider of crypto data intelligence, offering advanced analytics and on-chain insights to help users make informed decisions in the cryptocurrency market. Our platform provides a comprehensive suite of tools and resources, including real-time market data, historical analysis, and expert insights, to empower traders, investors, and researchers alike. With OGBRAIN, you can stay ahead of the curve and navigate the ever-changing crypto landscape with confidence.

LLMStack is an open-source platform that allows users to build AI agents, workflows, and applications with their own data. It supports all major model providers, including OpenAI, Cohere, Stability AI, Hugging Face, and more. Users can easily use these models to build powerful apps and focus on what matters most. LLMStack also supports a wide variety of data sources, including Web URLs, Sitemaps, PDFs, Audio, PPTs, Google Drive, and Notion imports. This makes it easy to bring your own data and connect it to LLM models to supercharge your generative AI applications and chatbots. LLMStack is built on React, which makes it easy to build apps collaboratively. You can share apps publicly with everyone on the internet or restrict access to only certain individuals using the granular permission model. Viewer and collaborator roles allow multiple users to modify and build the app together.

CodeGPT is a comprehensive AI-powered platform that provides a suite of tools and services designed to enhance business operations and streamline coding processes. It offers a range of AI assistants, known as Copilots, Agents, or GPTs, that can be customized and integrated into various applications. These AI assistants can automate tasks, generate content, provide insights, and assist with coding, among other functions. CodeGPT also features a marketplace where users can explore and discover a wide selection of pre-built AI assistants tailored to specific tasks and industries. Additionally, the platform offers an API for advanced users to integrate AI capabilities into their own custom projects. With its focus on customization, flexibility, and ease of use, CodeGPT empowers businesses and individuals to leverage AI technology to improve efficiency, productivity, and innovation.

Imbue is a company focused on building AI systems that can reason and code, with the goal of rekindling the dream of the personal computer by creating practical AI agents that can accomplish larger goals and work safely in the real world. The company emphasizes innovation in AI technology and aims to push the boundaries of what AI can achieve in various fields.

Phenaki is a model capable of generating realistic videos from a sequence of textual prompts. It is particularly challenging to generate videos from text due to the computational cost, limited quantities of high-quality text-video data, and variable length of videos. To address these issues, Phenaki introduces a new causal model for learning video representation, which compresses the video to a small representation of discrete tokens. This tokenizer uses causal attention in time, which allows it to work with variable-length videos. To generate video tokens from text, Phenaki uses a bidirectional masked transformer conditioned on pre-computed text tokens. The generated video tokens are subsequently de-tokenized to create the actual video. To address data issues, Phenaki demonstrates how joint training on a large corpus of image-text pairs as well as a smaller number of video-text examples can result in generalization beyond what is available in the video datasets. Compared to previous video generation methods, Phenaki can generate arbitrarily long videos conditioned on a sequence of prompts (i.e., time-variable text or a story) in an open domain. To the best of our knowledge, this is the first time a paper studies generating videos from time-variable prompts. In addition, the proposed video encoder-decoder outperforms all per-frame baselines currently used in the literature in terms of spatio-temporal quality and the number of tokens per video.

Gemini is a large and powerful AI model developed by Google. It is designed to handle a wide variety of text and image reasoning tasks, and it can be used to build a variety of AI-powered applications. Gemini is available in three sizes: Ultra, Pro, and Nano. Ultra is the most capable model, but it is also the most expensive. Pro is the best performing model for a wide variety of tasks, and it is a good value for the price. Nano is the most efficient model, and it is designed for on-device use cases.

SingularityNET is a decentralized AI platform that offers funding opportunities for AI projects. It allows individuals and organizations to develop and monetize their AI services while keeping ownership of their models. The platform aims to build a global ecosystem of decentralized and beneficial AI services through community-driven programs and rewards. SingularityNET provides a space for project proposals, expert reviews, and grants to support the growth of AI projects aligned with the goal of building a Beneficial Artificial General Intelligence.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

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.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

FarmVibes.AI is a repository focused on developing multi-modal geospatial machine learning models for agriculture and sustainability. It enables users to fuse various geospatial and spatiotemporal datasets, such as satellite imagery, drone imagery, and weather data, to generate robust insights for agriculture-related problems. The repository provides fusion workflows, data preparation tools, model training notebooks, and an inference engine to facilitate the creation of geospatial models tailored for agriculture and farming. Users can interact with the tools via a local cluster, REST API, or a Python client, and the repository includes documentation and notebook examples to guide users in utilizing FarmVibes.AI for tasks like harvest date detection, climate impact estimation, micro climate prediction, and crop identification.

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.

Awesome Large Weather Models (LWMs) is a curated collection of articles and resources related to large weather models used in AI for Earth and AI for Science. It includes information on various cutting-edge weather forecasting models, benchmark datasets, and research papers. The repository serves as a hub for researchers and enthusiasts to explore the latest advancements in weather modeling and forecasting.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. It aims to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

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A financial expert building optimized macroeconomic models from a renowned book.

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One Economic Insight at a Time, I Unleash Curiosity, Inspired by Per L. Bylund (I sometimes hallucinate about Keynes... Sorry Per!)

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A helpful guide for understanding the paper "Anatomy of an AI-powered malicious social botnet"

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The pressing environmental issues we face today require novel approaches and technological advancements to effectively mitigate their impacts. GaiaAI offers a range of tools and modes to promote sustainable practices and enhance environmental stewardship.

Analyzing startup trends with a focus on 2024 data, or 2023 if needed.

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