AI tools for mapa da ásia
Related Tools:
Chatmind
Chatmind is an AI-powered mind mapping tool that allows users to create and refine mind maps with the help of GPT AI. It offers features such as text-to-mind map conversion, chat-guided mind mapping, image generation, and one-click mind map to slides transition. Chatmind is designed to enhance creativity, productivity, and logical thinking.
AireLibre
AireLibre is a community response to the need for freely, collaboratively, and decentralized air quality information. It includes projects like Red Descentralizada de Aire Libre (ReDAL), Linka, Linka Firmware, LinkaBot, AQmap, and Android/iOS apps. Users can join the network with a sensor communicating with Linka. Materials and tools are needed to build a sensor. The initiative is decentralized and open for community collaboration. Users can extend or add projects to AireLibre. The license allows for creating personal networks. AireLibre is not for professional/industrial/scientific/military use, and the sensors are not calibrated in Switzerland.
Awesome-AIGC-3D
Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.
firecrawl
Firecrawl is an API service that empowers AI applications with clean data from any website. It features advanced scraping, crawling, and data extraction capabilities. The repository is still in development, integrating custom modules into the mono repo. Users can run it locally but it's not fully ready for self-hosted deployment yet. Firecrawl offers powerful capabilities like scraping, crawling, mapping, searching, and extracting structured data from single pages, multiple pages, or entire websites with AI. It supports various formats, actions, and batch scraping. The tool is designed to handle proxies, anti-bot mechanisms, dynamic content, media parsing, change tracking, and more. Firecrawl is available as an open-source project under the AGPL-3.0 license, with additional features offered in the cloud version.
firecrawl-mcp-server
Firecrawl MCP Server is a Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities. It offers features such as web scraping, crawling, and discovery, search and content extraction, deep research and batch scraping, automatic retries and rate limiting, cloud and self-hosted support, and SSE support. The server can be configured to run with various tools like Cursor, Windsurf, SSE Local Mode, Smithery, and VS Code. It supports environment variables for cloud API and optional configurations for retry settings and credit usage monitoring. The server includes tools for scraping, batch scraping, mapping, searching, crawling, and extracting structured data from web pages. It provides detailed logging and error handling functionalities for robust performance.
firecrawl
Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. It crawls all accessible subpages and provides clean markdown for each, without requiring a sitemap. The API is easy to use and can be self-hosted. It also integrates with Langchain and Llama Index. The Python SDK makes it easy to crawl and scrape websites in Python code.
Awesome-AI-Market-Maps
Awesome AI Market Maps is a curated list of Artificial Intelligence startup market maps from 2025 and 2024, featuring over 275 market maps by top VCs, industry analysts, and AI practitioners. The list is organized by quarter, showcasing hot AI topics and the industry's rapid evolution. The data collection workflow includes various tools like ChatGPT, Google Gemini, and human-in-the-loop curation. The repository is regularly updated with new market maps, providing a comprehensive resource for the AI community.
mergekit
Mergekit is a toolkit for merging pre-trained language models. It uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.
CVPR2024-Papers-with-Code-Demo
This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.
FAI-PEP
Facebook AI Performance Evaluation Platform is a framework and backend agnostic benchmarking platform to compare machine learning inferencing runtime metrics on a set of models and on a variety of backends. It provides a means to check performance regressions on each commit. The platform supports various performance metrics such as delay, error, energy/power, and user-provided metrics. It aims to easily evaluate the runtime performance of models and backends across different frameworks and platforms. The platform uses a centralized model/benchmark specification, fair input comparison, distributed benchmark execution, and centralized data consumption to reduce variation and provide a one-stop solution for performance comparison. Supported frameworks include Caffe2 and TFLite, while backends include CPU, GPU, DSP, Android, iOS, and Linux based systems. The platform also offers performance regression detection using A/B testing methodology to compare runtime differences between commits.