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Yuiseki Inc.
- Taito, Tokyo, Japan
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00:59
(UTC +09:00) - https://yuiseki.net/
- @yuiseki_
Highlights
AI
Easily train a good VC model with voice data <= 10 mins!
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"
A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
An offical repo for ECCV 2024 Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
Code and datasets for paper "GeoGalactica: A Scientific Large Language Model in Geoscience"
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
Companion repository for "Evaluation of Code LLMs on Geospatial Code Generation" paper
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
Accompanying repo for NeurIPSW'23: GPT4GEO: How a Language Model Sees the World's Geography
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
Code for EMNLP22 SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation.
A zero-shot geospatial question answering agent with precise spatiotemporal retrieval and explicit reasoning capabilities!
Crowdsourced Geospatial Question-Answering dataset containing triples of question-queries-answers.
Official Implementation of ACL 2021 paper “GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning”.
Minimal GPT (~350 lines with a simple task to test it)
This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"
PDFM Embeddings: location-based vectors for geo-spatial analysis.
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
An Open Large Reasoning Model for Real-World Solutions
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
A lightweight, ergonomic TypeScript library for multi-agent orchestration.
Agent Framework / shim to use Pydantic with LLMs