kpdreamer

kpdreamer's Stars

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook66.3k57413334.3k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.8k4621335.9k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.9k3189494.8k

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.7k146661.1k

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k140482939

• Fafa-DL/Awesome-Backbones

  Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

  Language:Python1.6k33134260

• bermanmaxim/LovaszSoftmax

  Code for the Lovász-Softmax loss (CVPR 2018)

  Language:Jupyter Notebook1.4k3234269

• orobix/retina-unet

  Retina blood vessel segmentation with a convolutional neural network

  Language:Python1.3k7983468

• skywind3000/PyStand

  :rocket: Python Standalone Deploy Environment !!

  Language:C++878137999

• liliu-avril/Awesome-Segment-Anything

  This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

  87522758

• songquanpeng/pytorch-template

  To be the world's best PyTorch project template.

  Language:Python4815269

• KyanChen/RSMamba

  This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"

  Language:Python25151716

• jinghu-moon/typora-see-yue-theme

  See Yue 系列主题是一个自定义样式极多、简约、充满细节的 Typora 主题。（The See Yue series theme is a Typora theme with a plethora of custom styles, minimalism, and full of details.）

  Language:CSS21347120

• Zhaoguanhua/AtmosphericCorrection

  6s模型大气校正python版本，支持GF1、2,Landsat-8,Sentinel-2等影像

  Language:Python18742079

• ESA-PhiLab/iris

  Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

  Language:JavaScript141113042

• samsammurphy/6S_emulator

  Atmospheric correction in Python using a 6S emulator

  Language:HTML8372127

• zhengshuchen/HCFNet

  Language:Python821210

• dr-lizhiwei/OpenSICDR

  Open Satellite Image Cloud Detection Resources (Datasets and Tools)

  63103

• songquanpeng/pytorch-deployment

  A template for rapid deployment of PyTorch models.

  Language:Python633010

• NOAA-ORR-ERD/PyGnome

  The General NOAA Operational Modeling Environment

  Language:C602216144

• marine-debris/marine-debris.github.io

  Quick Start Guide for MARIDA (Marine Debris Archive)

  Language:Python471711

• theleokul/tieof

  The python3 package for satellite data recovery.

  Language:Python363223

• fredhallgren/inkpca

  Incremental kernel PCA

  Language:Python30368

• miguelmendesduarte/Floating-Marine-Debris-Data

  This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plastic, driftwood, seaweed, pumice, sea snot, and sea foam.

  Language:Python24156

• fnemina/pyOSOAA

  pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.

  Language:Python213406

• hygeos/polymer

  Polymer atmospheric correction

  Language:Python21558

• ytkz11/rs-tool

  remote sensing data process tool

  Language:Python12200

• lifeodyssey/RayleighCorrection

  Rayleigh Correction Based on py6s

  Language:Python8102

• sargassum-busters/ASI

  Aqua Satus Invenio: a new Machine Learning algorithm for the remote detection of floating sargassum in satellite imagery

  Language:Python75

• ocean-slang/generate_AC_lookup

  Generate look up table for atmospheric correction using Py6S and 6S radiative transfer model. All open source!

  Language:Python6100