meredithmjackson

meredithmjackson's Stars

• stevenpawley/Pyspatialml

  Machine learning modelling for spatial data

  Language:Python14529

• jrising/mpa-effects

  Source code to estimate the global effects of Marine Protected Areas.

  1

• mitroadmaps/roadtracer

  Language:Python22675

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.3k3.7k

• openmodels/small-world-fisheries

  Analysis code for the paper The Small World of Global Marine Fisheries: The Cross-Boundary Consequences of Larval Dispersal

  Language:R2

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.6k4k

• GlobalFishingWatch/vessel-classification

  Vessel classification: feature generation and model training/inference.

  Language:Python8413

• jakeret/tf_unet

  Generic U-Net Tensorflow implementation for image segmentation

  Language:Python1.9k748

• ec-europa/sumo

  'Search for Unidentified Maritime Objects' - JRC, owner GREIDANUS Harm (JRC-ISPRA) <Harm.GREIDANUS@ec.europa.eu>

  Language:Java6017

• labelmeai/labelme

  Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

  Language:Python13.2k3.4k

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

  Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

  Language:Python308139

• instillai/TensorFlow-Course

  :satellite: Simple and ready-to-use tutorials for TensorFlow

  Language:Jupyter Notebook16.4k3.2k

• SimonKohl/probabilistic_unet

  A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

  Language:Jupyter Notebook54399

• LouisFoucard/w-net

  w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

  Language:Jupyter Notebook20347

• jwasham/machine-learning-for-software-engineers

  A complete daily plan for studying to become a machine learning engineer.

  351177

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  304k76.4k

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.1k4.1k

• machinelearningnanodegree/stanford-cs231

  Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

  Language:Jupyter Notebook258118

• VIAME/VIAME

  Video and Image Analytics for Multiple Environments

  Language:Python27880

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++185k74.2k

• mathildor/TF-SegNet

  SegNet-like network implemented in TensorFlow to use for segmenting aerial images

  Language:Python10132

• descarteslabs/descarteslabs-python

  Descartes Labs Python Client Library

  Language:Python15736

• JuliaLang/julia

  The Julia Programming Language

  Language:Julia45.4k5.5k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21k3.6k

• rmkemker/EarthMapper

  Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

  Language:Python9649

• mapbox/robosat

  Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

  Language:Python2k383

• ternaus/TernausNet

  UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

  Language:Python1k247

• acgeospatial/Satellite_Imagery_Python

  Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

  Language:Jupyter Notebook18286

• locationtech-labs/geopyspark

  GeoTrellis for PySpark

  Language:Python17959

• sentinel-hub/sentinel2-cloud-detector

  Sentinel Hub Cloud Detector for Sentinel-2 images in Python

  Language:Python42392