Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
adbedada.github.io
portfolio
advanced_gis
deep-learning-notebooks
notebooks on deep learning for satellite imagery
geepy
Access google earth engine products for a time-series analysis
image-analysis-tutorials
https://adbedada.com/image-analysis-tutorials/
imageprep
Dataset prep tool for object detection tasks
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
pylisk
A starter kit for building a Python Library
ts-raster
Extract and analyze space-time-series characteristics from raster data.
adbedada's Repositories
adbedada/deep-learning-notebooks
notebooks on deep learning for satellite imagery
adbedada/geepy
Access google earth engine products for a time-series analysis
adbedada/image-analysis-tutorials
https://adbedada.com/image-analysis-tutorials/
adbedada/imageprep
Dataset prep tool for object detection tasks
adbedada/ts-raster
Extract and analyze space-time-series characteristics from raster data.
adbedada/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
adbedada/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
adbedada/adbedada.github.io
portfolio
adbedada/advanced_gis
adbedada/adversarial-model-inversion
Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)
adbedada/adversarial_attack
papers and examples on adversarial attacks
adbedada/aia
adbedada/capstone
capstone
adbedada/concrete_NLP_tutorial
An NLP workshop about concrete solutions to real problems
adbedada/conda-recipes
adbedada/cresi
Road network extraction from satellite imagery, with speed and travel time estimates
adbedada/deeprocess
post-process spatial features created with machine learning models
adbedada/earth-engine
google earth engine resources for collecting various kinds of images
adbedada/How-tos
Scripts and documentation for data processing and analysis
adbedada/odmodels
adbedada/pyGIS
pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications. -- Under Development --
adbedada/pylisk
A starter kit for building a Python Library
adbedada/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
adbedada/rasterio
Rasterio reads and writes geospatial raster datasets
adbedada/solaris
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
adbedada/spfeas
Spatial feature processing of satellite imagery
adbedada/spfeas-scripts
Command line and python scripts used for satellite image processing and features extraction
adbedada/TF-slim
TensorFlow's Slim API
adbedada/tf_object_detection
The Tensorflow Object detection API
adbedada/xview_data_utilities