hbinol

hbinol's Stars

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  205k3.1k18226.8k

• academic/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  25.2k1.4k575.9k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.6k2461412.8k

• openai/openai-python

  The official Python library for the OpenAI API

  Language:Python23.2k3088103.3k

• Giskard-AI/giskard

  🐢 Open-Source Evaluation & Testing for ML & LLM systems

  Language:Python4.1k33460270

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook4k109752.4k

• opengeos/segment-geospatial

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

  Language:Python3.1k61149316

• GokuMohandas/mlops-course

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook3k5519516

• Hedlen/awesome-segment-anything

  Tracking and collecting papers/projects/others related to Segment Anything.

  1.6k6214133

• dair-ai/Transformers-Recipe

  🧠 A study guide to learn about Transformers

  1.5k311146

• mpezeshki/pytorch_forward_forward

  Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

  Language:Python1.4k2612139

• youssefHosni/Awesome-AI-Data-GitHub-Repos

  A collection of the most important Github repos for ML, AI & Data science practitioners

  800201176

• ChenDelong1999/RemoteCLIP

  🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)

  Language:Jupyter Notebook31453722

• geoaigroup/awesome-vision-language-models-for-earth-observation

  A curated list of awesome vision and language resources for earth observation.

  1995216

• danfenghong/IEEE_TPAMI_SpectralGPT

  Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. DOI:10.1109/TPAMI.2024.3362475.

  Language:Python19152720

• IBM/terratorch

  a Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

  Language:Python168105423

• ISRICWorldSoil/SoilGrids250m

  Global spatial predictions of soil properties and classes at 250 m resolution

  Language:R12830057

• souravbhadra/raster4ml

  A geospatial raster processing library for machine learning

  Language:Python1234114

• billpsomas/simpool

  This repo contains the official implementation of ICCV 2023 paper "Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?"

  Language:Python94212

• acgeospatial/Geospatial_Python_CourseV1

  This is an collection of blog posts turned into a course format

  Language:Jupyter Notebook8610030

• RubenGres/Seg2Sat

  Using StableDiffusion and ControlNet to generate synthetic aerial images

  Language:Jupyter Notebook78214

• billpsomas/rscir

  Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"

  Language:Python69261

• Spiruel/UKFields

  Language:Python42614

• Hejarshahabi/GeoPatch

  GeoPatch is a package for generating patches from remote sensing data

  Language:Python40115

• mvrl/rshf

  Remote sensing pretrained models easy loading using huggingface -- PyTorch

  Language:Python22200

• dairejpwalsh/Sentinel-Scripts

  Language:Python20428

• digitalearthafrica/FAO_crop_boundary

  Scalable workflow for crop boundary delineation using pre-trained deep learning model

  Language:Jupyter Notebook10202

• playwithreality/Random-Forest-Land-Classification

  Sentinel-1 and Sentinel-2 land classification over Finland using sklearn Random Forest and SNAP

  Language:Jupyter Notebook10203

• Spiruel/Smoothly-Blend-Image-Patches

  Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

  Language:Python2100

• hbinol/sentinel2-cloud-detector

  Sentinel Hub Cloud Detector for Sentinel-2 images in Python

  Language:Python1000