tonish

tonish's Stars

• AileenNielsen/TimeSeriesAnalysisWithPython

  Language:Jupyter Notebook1.8k1.1k

• john-science/scipy_con_2019

  Tutorial Sessions for SciPy Con 2019

  Language:Jupyter Notebook276249

• ritvikmath/Time-Series-Analysis

  code and data for the time series analysis vids on my YouTube channel

  Language:Jupyter Notebook658659

• aabdulaal/Practical_TS_Talk

  Material for SF ACM Chapter talk on 10/28

  Language:Jupyter Notebook2714

• cerlymarco/MEDIUM_NoteBook

  Repository containing notebooks of my posts on Medium

  Language:Jupyter Notebook2.1k973

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python184k44.4k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.2k3.7k

• 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:Python31.6k4.7k

• MarcCoru/crop-type-mapping

  Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

  Language:Jupyter Notebook15343

• dl4sits/BreizhCrops

  A Satellite Time Series Dataset for Crop Type Identification

  Language:Jupyter Notebook19342

• cyyeh/dog-breed-classifier-project

  Udacity Machine Learning Engineer Nanodegree Capstone Project

  Language:JavaScript3

• mirceast/cnn-dog-breed-classifier

  PyTorch implementation of a dog breed classifier using convolutional neural nets.

  Language:Jupyter Notebook74

• zrsmithson/Stanford-dogs

  A Pytorch image classification using the Stanford Dogs dataset to classify an image of a dog to one of 120 breeds

  Language:Python2013

• sagieppel/Classification-of-object-in-a-specific-image-region-using-a-convolutional-neural-net-with-ROI-mask-a

  Classification of object in a specific image region using a convolutional neural net with ROI mask as input

  Language:Python252

• GeneralLi95/deepglobe_land_cover_classification_with_deeplabv3plus

  DeepGlobe Land Cover Classification Challenge遥感影像语义分割

  Language:Python18733

• sjliu68/sen2to10

  Convert Sentinel-2 imagery to spatial resolution of 10 m

  Language:Python51

• nshaud/DeepHyperX

  Deep learning toolbox based on PyTorch for hyperspectral data classification.

  Language:Python433122

• d-smit/sentinel2-deep-learning

  Image classification on Sentinel-2 satellite imagery.

  Language:Python307

• tchambon/DeepSentinel

  Deep learning pretrained model on satellite imagery (Sentinel-2)

  Language:Jupyter Notebook7723

• nshaud/DeepNetsForEO

  Deep networks for Earth Observation

  Language:Jupyter Notebook475170

• gabrieltseng/pycrop-yield-prediction

  A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

  Language:Python17061

• ESA-PhiLab/NGVEO

  Deep learning for Earth Observation

  Language:Python5312

• patrickcgray/open-geo-tutorial

  Tutorial of fundamental remote sensing and GIS methodologies using open source software in python

  Language:Jupyter Notebook321125

• ceholden/open-geo-tutorial

  Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R)

  Language:HTML241281

• neptune-ai/open-solution-mapping-challenge

  Open solution to the Mapping Challenge :earth_americas:

  Language:Python38096

• greed2411/unet_pytorch

  Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

  Language:Python292

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.5k1.5k

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.6k11.7k

• UNITAR-UNOSAT/UNOSAT-AI-Based-Rapid-Mapping-Service

  This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.

  Language:Jupyter Notebook5114

• reachsumit/deep-unet-for-satellite-image-segmentation

  Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

  Language:Python308138