EdoardoCarlesi

EdoardoCarlesi's Stars

• public-apis/public-apis

  A collective list of free APIs

  Language:Python324k4.2k64434.3k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k5.9k1.5k46.1k

• gpt-engineer-org/gpt-engineer

  Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

  Language:Python52.7k5164856.9k

• OpenRA/OpenRA

  Open Source real-time strategy game engine for early Westwood games such as Command & Conquer: Red Alert written in C# using SDL and OpenGL. Runs on Windows, Linux, *BSD and Mac OS X.

  Language:C#14.9k3809.2k2.7k

• borisdayma/dalle-mini

  DALL·E Mini - Generate images from a text prompt

  Language:Python14.8k1131551.2k

• spotify/annoy

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  Language:C++13.4k3184011.2k

• apple/ml-ferret

  Language:Python8.5k1610509

• kivy/python-for-android

  Turn your Python application into an Android APK

  Language:Python8.4k3521.5k1.9k

• alufers/mitmproxy2swagger

  Automagically reverse-engineer REST APIs via capturing traffic

  Language:HTML8.4k2939299

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.6k56209711

• techiescamp/kubernetes-learning-path

  A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)

  6.9k1515873

• Exafunction/codeium.vim

  Free, ultrafast Copilot alternative for Vim and Neovim

  Language:Vim Script4.5k35248171

• NVlabs/stylegan2-ada-pytorch

  StyleGAN2-ADA - Official PyTorch implementation

  Language:Python4.2k502671.2k

• jupyter-naas/awesome-notebooks

  Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

  Language:Jupyter Notebook2.7k461.6k460

• riffusion/riffusion-app-hobby

  Stable diffusion for real-time music generation (web app)

  Language:TypeScript2.6k3832194

• SwinTransformer/Swin-Transformer-Semantic-Segmentation

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

  Language:Python1.2k1292222

• radiantearth/stac-spec

  SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable

  Language:JavaScript80774526179

• ziqi-jin/finetune-anything

  Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

  Language:Python799145759

• jamescalam/transformers

  Language:Jupyter Notebook5811513636

• cloudquery/pg_gpt

  Experimental extension that brings OpenAI API to your PostgreSQL to run queries in human language.

  Language:Rust46015119

• phelber/EuroSAT

  EuroSAT: Land Use and Land Cover Classification with Sentinel-2

  419131186

• allenai/satlas

  Language:Python21284924

• ESDS-Leipzig/cubo

  On-Demand Earth System Data Cubes (ESDCs) in Python

  Language:Python17151210

• strath-ai/SatelliteCloudGenerator

  A PyTorch-based tool to generate clouds for satellite images.

  Language:Jupyter Notebook115638

• AdrienWehrle/earthspy

  Monitor and study any place on Earth and in Near Real-Time using the Sentinel Hub services developed by the EO research team at Sinergise

  Language:Python6053911

• koechslin/Swin-Transformer-Semantic-Segmentation

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

  Language:Python371012

• italia/fatturapa-python

  Generatore a riga di comando di semplici fatture elettroniche FatturaPA per consulenti

  Language:Python26418

• pavlo-seimskyi/semantic-segmentation-satellite-imagery

  This repository is a complete walkthrough to download the "landcovernet" dataset that contains label masks for Sentinel 2 images from Africa. It includes the data download, preprocessing and the model training with PyTorch and fastai.

  Language:Jupyter Notebook20114

• CNES/WASP

  WASP (Weighted Average Synthesis Processor) is a C++/Python software to produce monthly cloud free images from Sentinel-2 Level 2A data obtained with MAJA software. WASP has been designed to minimize the artefacts wich are usually visible on monthly coosites. WASP works on linux environment and requires the installation of the Orfeo ToolBox (OTB).

  Language:C++16994

• aliFrancis/SEnSeI

  Spectral Encoder for Sensor Independence

  Language:Python8210