Best AI tools for< Location Researcher >

Bedrock Analytics is an AI-powered Location Intelligence and AI Platform that helps organizations maximize the value of place for strategic investments, operational performance, and everyday decisions. The platform offers scalable analysis and enrichment solutions embedded in web & mobile apps, with a wide range of data layers across categories such as human mobility, points of interest, and economic data. Bedrock Analytics turns locations into assets by providing the fastest, easiest, and most effective way to utilize location data for solving organizational tasks and challenges.

Hella Jobs is a leading platform for AI, Machine Learning, and Data Science jobs. It connects job seekers with top employers in the field of AI/ML, allowing employers to post open jobs and hire top talent. Job seekers can create profiles, submit resumes, and find new job opportunities. The platform offers features such as job filtering by keywords and location, job category selection, salary range selection, and job type filtering. Hella Jobs aims to streamline the job search process for both employers and job seekers in the AI/ML industry.

QPNOTES is an AI tool designed to help users save and manage their AI prompts in one convenient location. By enabling JavaScript, users can access the app's features to streamline their AI prompt management process. With QPNOTES, users can easily organize, store, and retrieve their AI prompts efficiently, enhancing their workflow and productivity.

Roic AI is an AI tool designed to provide users with essential financial data for analyzing companies. It offers comprehensive company summaries, 30+ years of financial statements, and earnings call transcripts in a single location. Users can access crucial information about popular companies like Apple Inc. and Microsoft Corporation through this platform.

Global Plastic Watch (GPW) is a digital platform that maps the world's plastic pollution in near real-time using a unique combination of satellite imagery and artificial intelligence. It provides a comprehensive view of the global plastic waste crisis, including the location and size of plastic waste sites, the types of plastic waste, and the impact of plastic pollution on the environment and human health.

Phind AI is a cost-effective alternative to other AI search engines, making AI search accessible to everyone, regardless of location. It offers a comprehensive search experience with a user-friendly interface and advanced features.

iNCSAI List is a comprehensive database of AI startups and companies. It provides information on the latest AI trends, news, and resources. The website also offers a directory of AI companies, sorted by industry and location. iNCSAI List is a valuable resource for anyone interested in learning more about AI or finding AI-related products and services.

Factori is a data intelligence platform designed for an AI-first world, offering a wide range of products and datasets to empower businesses with advanced data insights. It enables users to uncover movement trends, reach customers effectively, drive data-driven insights, personalize experiences, and target the right consumers with unique segments. Factori is trusted by global businesses for all their data requirements, providing high-quality data to improve predictive and causal models.

MaskMyPrompt is an AI tool designed to anonymize prompts before sending them to ChatGPT. It ensures that your prompt data remains private by masking names and sensitive information. The tool is programmed by Mike Ushakov and ChatGPT, utilizing the powerful Transformers.js. Users can reach out for support or feature requests via email or Twitter.

ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) is a research center focusing on Data Science, Artificial Intelligence, and Big Data with locations in Dresden and Leipzig. It is one of the five new AI centers in Germany funded under the federal government's AI strategy by the Federal Ministry of Education and Research and the Free State of Saxony. The center collaborates closely with TUD Dresden University of Technology and Leipzig University, aiming to bridge the gap between mass data utilization, knowledge management, and advanced AI methods.

GetOData is a powerful web scraping API and Chrome extension that offers AI-based data extraction tools for small-scale scraping projects. It allows users to extract large amounts of data without being blocked by anti-bot mechanisms like Captchas, Cloudflare, or Akimai. The API is built by data extraction experts and provides features such as choosing the output format (HTML or JSON), setting proxy locations, executing JavaScript, taking screenshots, and more. GetOData offers simplified pricing options for freelancers, startups, and businesses, with competitive rates and high success rates compared to other services.

Picarta AI is an image geolocalization solution that uses artificial intelligence to find where a photo has been taken in the world. By uploading a photo, users can get the GPS location, latitude, longitude, time stamp, and camera details of the image. Picarta AI also offers a map view of the image location and allows users to download the map. The company's vision is to empower individuals and businesses with the most accurate and reliable image geolocalization solution, unlocking new possibilities for exploration, research, and decision-making.

Orbital Insight is a leading geospatial data analytics platform that provides users with the ability to query the world with three basic parameters: WHAT type of activity? WHERE on earth? WHEN? The platform automates the most difficult steps of deriving insights, allowing you to answer many challenging geospatial questions. Orbital Insight's GO platform is designed for enterprise collaboration and transforms multiple geospatial data sources to accelerate and streamline team member's research, reporting, due diligence, and more.

DagsHub is an open source data science collaboration platform that helps AI teams build better models and manage data projects. It provides a central location for data, code, experiments, and models, making it easy for teams to collaborate and track their progress. DagsHub also integrates with a variety of popular data science tools and frameworks, making it a powerful tool for data scientists and machine learning engineers.

Casc is an AI-powered knowledge management tool that helps teams access and share information quickly and easily. It integrates with popular collaboration tools like Slack, Google Drive, and Confluence, allowing users to search and access documents, images, and other content from a central location. Casc also uses natural language processing to understand user queries and deliver precise answers, making it easy for teams to find the information they need without having to spend hours searching through multiple sources.

The website provides valuable information for individuals considering building a home, specifically focusing on custom-built homes. It addresses common questions and concerns related to custom-built homes, offering insights and solutions. The content covers topics such as maximizing room space, neighborhood etiquette, secrets to successful custom-built homes, considerations for building in a distant location, family-friendly home layouts, advantages of custom-built homes over buying pre-built houses, incorporating creativity in home design, flexibility in construction projects, creating disaster-resistant homes, selecting suitable land for building, and designing homes suitable for smaller families. The site also offers tips on creating stylish and natural custom-built homes, considerations for individuals with a second car, assessing safety in the neighborhood before building a custom home, following exterior wall trends, and more. The site is authored by Takayoshi Shirasaki, providing expert insights and recommendations based on experience in the construction industry.

Personalized.energy is an AI-powered platform that helps users save on their home electricity bills by providing tailored electricity plans based on individual needs and lifestyle. The platform simplifies the energy market by using an AI-powered search engine to compare online plans and match users with the best-suited energy plans. By analyzing home location and personal usage profiles, Personalized.energy eliminates the need for manual research and comparison, making shopping for a new electricity plan quick, simple, and stress-free.

Stops.com is a location-based platform that allows users to find, create, and share location-based content and products. The platform boasts over 130 million locations and features AI capabilities to enhance user experience. Stops.com partners with businesses for location-based marketing opportunities, offering free business listings and premium services. Users can access a variety of content, including videos, blogs, and apps, to discover new locations and products. The platform aims to connect customers with brands and products nearby, making it a valuable tool for both businesses and consumers.

Unearth Insights is a geospatial data and location solutions platform that offers advanced mapping services. The platform includes Unearth Lite, a ChatGPT-powered location explorer, Unearth Insights for flexible enterprise geospatial analytics, and Unearth Platform for upcoming features. With a focus on modern location solutions powered by AI, Unearth Insights aims to democratize geospatial data for businesses, industries, data teams, and developers. The platform is trusted by fast-growing businesses and offers the simplest dashboard to explore the world's locations.

DTiQ is a leading provider of loss prevention and intelligent video solutions for businesses in the United States and globally. Their video surveillance and loss prevention solutions help businesses manage key aspects from any device, resulting in increased profits. DTiQ offers SmartAudit™, SmartAnalysis, and SmartAssurance products to enhance operational quality, save time, and provide innovative loss prevention solutions. Trusted by hundreds of brands, DTiQ prioritizes security, integrity, and support to help businesses run smarter and more efficiently.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

Slideflow is a deep learning library for digital pathology, offering a user-friendly interface for model development. It is designed for medical researchers and AI enthusiasts, providing an accessible platform for developing state-of-the-art pathology models. Slideflow offers customizable training pipelines, robust slide processing and stain normalization toolkit, support for weakly-supervised or strongly-supervised labels, built-in foundation models, multiple-instance learning, self-supervised learning, generative adversarial networks, explainability tools, layer activation analysis tools, uncertainty quantification, interactive user interface for model deployment, and more. It supports both PyTorch and Tensorflow, with optional support for Libvips for slide reading. Slideflow can be installed via pip, Docker container, or from source, and includes non-commercial add-ons for additional tools and pretrained models. It allows users to create projects, extract tiles from slides, train models, and provides evaluation tools like heatmaps and mosaic maps.

Windows Agent Arena (WAA) is a scalable Windows AI agent platform designed for testing and benchmarking multi-modal, desktop AI agents. It provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, enabling testing of agentic AI workflows across various tasks. WAA supports deploying agents at scale using Azure ML cloud infrastructure, allowing parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes.

TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and **python-first** , low and high level abstractions for RL that are intended to be **efficient** , **modular** , **documented** and properly **tested**. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort.

xFinder is a model specifically designed for key answer extraction from large language models (LLMs). It addresses the challenges of unreliable evaluation methods by optimizing the key answer extraction module. The model achieves high accuracy and robustness compared to existing frameworks, enhancing the reliability of LLM evaluation. It includes a specialized dataset, the Key Answer Finder (KAF) dataset, for effective training and evaluation. xFinder is suitable for researchers and developers working with LLMs to improve answer extraction accuracy.

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.

YGO Agent is a project focused on using deep learning to master the Yu-Gi-Oh! trading card game. It utilizes reinforcement learning and large language models to develop advanced AI agents that aim to surpass human expert play. The project provides a platform for researchers and players to explore AI in complex, strategic game environments.

This repository contains course materials for T81 559: Applications of Generative Artificial Intelligence at Washington University in St. Louis. The course covers practical applications of Large Language Models (LLMs) and text-to-image networks using Python. Students learn about generative AI principles, LangChain, Retrieval-Augmented Generation (RAG) model, image generation techniques, fine-tuning neural networks, and prompt engineering. Ideal for students, researchers, and professionals in computer science, the course offers a transformative learning experience in the realm of Generative AI.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

ShortcutsBench is a project focused on collecting and analyzing workflows created in the Shortcuts app, providing a dataset of shortcut metadata, source files, and API information. It aims to study the integration of large language models with Apple devices, particularly focusing on the role of shortcuts in enhancing user experience. The project offers insights for Shortcuts users, enthusiasts, and researchers to explore, customize workflows, and study automated workflows, low-code programming, and API-based agents.

SwanLab is an open-source, lightweight AI experiment tracking tool that provides a platform for tracking, comparing, and collaborating on experiments, aiming to accelerate the research and development efficiency of AI teams by 100 times. It offers a friendly API and a beautiful interface, combining hyperparameter tracking, metric recording, online collaboration, experiment link sharing, real-time message notifications, and more. With SwanLab, researchers can document their training experiences, seamlessly communicate and collaborate with collaborators, and machine learning engineers can develop models for production faster.

Liger Kernel is a collection of Triton kernels designed for LLM training, increasing training throughput by 20% and reducing memory usage by 60%. It includes Hugging Face Compatible modules like RMSNorm, RoPE, SwiGLU, CrossEntropy, and FusedLinearCrossEntropy. The tool works with Flash Attention, PyTorch FSDP, and Microsoft DeepSpeed, aiming to enhance model efficiency and performance for researchers, ML practitioners, and curious novices.

The Generative AI Use Cases Repository showcases a wide range of applications in generative AI, including Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. It provides practical notebooks and guidance on utilizing frameworks such as LlamaIndex and LangChain, and demonstrates how to integrate models from leading AI research companies like Anthropic and OpenAI.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

BIG-Bench Mistake is a dataset of chain-of-thought (CoT) outputs annotated with the location of the first logical mistake. It was released as part of a research paper focusing on benchmarking LLMs in terms of their mistake-finding ability. The dataset includes CoT traces for tasks like Word Sorting, Tracking Shuffled Objects, Logical Deduction, Multistep Arithmetic, and Dyck Languages. Human annotators were recruited to identify mistake steps in these tasks, with automated annotation for Dyck Languages. Each JSONL file contains input questions, steps in the chain of thoughts, model's answer, correct answer, and the index of the first logical mistake.

LLMClient is a JavaScript/TypeScript library that simplifies working with large language models (LLMs) by providing an easy-to-use interface for building and composing efficient prompts using prompt signatures. These signatures enable the automatic generation of typed prompts, allowing developers to leverage advanced capabilities like reasoning, function calling, RAG, ReAcT, and Chain of Thought. The library supports various LLMs and vector databases, making it a versatile tool for a wide range of applications.

Instructor is a Typescript library for structured extraction in Typescript, powered by llms, designed for simplicity, transparency, and control. It stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and steerable.

MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.

OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.

CLIPPyX is a powerful system-wide image search and management tool that offers versatile search options to find images based on their content, text, and visual similarity. With advanced features, users can effortlessly locate desired images across their entire computer's disk(s), regardless of their location or file names. The tool utilizes OpenAI's CLIP for image embeddings and text-based search, along with OCR for extracting text from images. It also employs Voidtools Everything SDK to list paths of all images on the system. CLIPPyX server receives search queries and queries collections of image embeddings and text embeddings to return relevant images.

A visual analysis expert who guesses image locations.

Get the latest Crime Rate of any location in the UK

Compares prices, ensures privacy, and asks for location

Analyzes images, providing facts, history, and location details.

Free Guides on Google Maps data scraping

Virtual assistant for NYC 311 services, providing info and guidance on city programs.

Helps locate stores and businesses informatively

Finds top 10 UFO sightings in a given area with links and media.

A comprehensive Nationwide database of law firms and lawyers, including specialties, locations, and contact information with live URLs.

국가, 도시 별 주요 정보 검색

I analyze Street View images to guess countries and cities.

Cartographic Creator from the 1600's

Atlas Eye analyzes images to guess their location

Begin by providing a location or situation. Commands: /l /i /m /s

A game of location guessing with photorealistic images.

Explore any location with a visual street view perspective.

Redirector to New GPT Location for Information Law Course

Offers workout snacks based on lifestyle and location

An assistant for accurate tide timings based on location.

Guides in AR game development & location-based features