isroalka Goto Github PK

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

awesome-sar-deep-learning

A list of resources to get you started with Deep Learning based despeckling of Synthetic Aperture Radar(SAR) images

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

coursera-ng-neural-networks-and-deep-learning

Build logistic regression, neural network models for classification

deepphaseunwrap

This repository Introduces a joint convolutional and spatial quad-directional LSTM (SQD-LSTM) network for phase unwrapping in 2D images.

digital-image-processing-and-analysis

All codes written by me in my Digital Image Processing & Analysis course.

disaster_tweets

Multiple approaches to predicting disaster tweets on Kaggle dataset

dlpu

PyTorch model DLPU for phase unwrapping

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

eo-flow

Collection of TensorFlow 2.0 code for Earth Observation applications

eo_tools

A dockerized toolbox for easily processing remote sensing imagery from various public sources.

geo-sinc

hformer

Hformer: Hybrid CNN-Transformer for Single Wrapped Phase to Fringe Order Prediction Fringe Projection 3D measurement

isce2-docs

Documents and tutorials for isce2

isroalka

Config files for my GitHub profile.

machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FIST

machine-learning-with-python

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.

notes-for-stanford-cs224n-nlp-with-deep-learning

Notes for Stanford CS224N: Natural Language Processing with Deep Learning.

opensarlab-notebooks

phaseunwrapping

Saving All Papers and codes helpful for PU

quantum_computing_course2023

Course Material for the online short course on Quantum Computing Using QSim

sar_specific_models

sarimggeodesy.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

satellite-image-deep-learning

Deep learning with satellite imagery

simvlm

SimVLM ---SIMPLE VISUAL LANGUAGE MODEL PRETRAINING WITH WEAK SUPERVISION

simvlm-1