yoheigon

yoheigon's Stars

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.7k1k

• opengeos/segment-geospatial

  A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

  Language:Python3k307

• sacridini/Awesome-Geospatial

  Long list of geospatial tools and resources

  4.1k622

• ServiceNow/geo-bench

  GEO-Bench: Toward Foundation Models for Earth Monitoring

  Language:Python855

• Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models

  88387

• NASA-IMPACT/hls-foundation-os

  This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

  Language:Jupyter Notebook30982

• zhu-xlab/SSL4EO-S12

  SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation

  Language:Python18319

• fMoW/dataset

  19623

• nasaharvest/cropharvest

  Open source remote sensing dataset with benchmarks

  Language:Jupyter Notebook16441

• cloudtostreet/Sen1Floods11

  Language:Jupyter Notebook15345

• aws-samples/generative-ai-amazon-bedrock-langchain-agent-example

  Language:Python220387

• azavea/raster-vision

  An open source library and framework for deep learning on satellite and aerial imagery.

  Language:Python2.1k386

• aws-samples/jp-rag-sample

  このソリューションは AWS 上で検索用途の Retrieval Augmented Generation (RAG) を構築するサンプルコードです。

  Language:TypeScript9810

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook13.8k1.9k

• leaflet-extras/leaflet-providers

  An extension to Leaflet that contains configurations for various free tile providers.

  Language:JavaScript2.2k670

• python-visualization/folium

  Python Data. Leaflet.js Maps.

  Language:Python6.9k2.2k

• aws-samples/amazon-textract-textractor

  Analyze documents with Amazon Textract and generate output in multiple formats.

  Language:Jupyter Notebook392143

• aws-samples/amazon-a2i-sample-jupyter-notebooks

  Sample Jupyter Notebooks for Amazon Augmented AI (A2I)

  Language:Jupyter Notebook6964

• aws-samples/amazon-a2i-sample-task-uis

  Over 60 example task UIs for Amazon Augmented AI (A2I)

  Language:HTML9430

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k3k

• microsoft/torchgeo

  TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

  Language:Python2.7k332

• JaidedAI/EasyOCR

  Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

  Language:Python24.1k3.1k

• tkazusa/gpt-sagemaker-model-parallel

  1

• Chiaraplizz/ST-TR

  Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition

  Language:Python29758

• wanjinchang/st-gcn

  Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

  Language:Python136

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python7.8k913

• leoxiaobin/deep-high-resolution-net.pytorch

  The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

  Language:Cuda4.3k909

• yoheigon/sagemaker-unity-mlagents

  Using SageMaker For Unity ML-Agents

  Language:ASP72