sharadgupta27

sharadgupta27's Stars

• yotarazona/scikit-eo

  A Python package for Remote Sensing Data Analysis

  Language:Python18820

• ptyadana/Data-Science-and-Machine-Learning-Projects-Dojo

  collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

  Language:Jupyter Notebook34787

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python71k6.2k

• facebookresearch/HighResCanopyHeight

  This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".

  Language:Python22139

• samapriya/awesome-gee-community-datasets

  Community Datasets added by users and made available for use at large

  Language:HTML793129

• sharadgupta27/BalancedLSM

  Code for landslide susceptibility mapping

  Language:C++1

• nasa/EMIT-Data-Resources

  This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.

  Language:HTML14081

• BehnoodRasti/Unmixing_Tutorial_IEEE_IADF

  Codes and data for Unmixing

  Language:Jupyter Notebook4413

• zgana/fpp3-python-readalong

  Python-centered read-along of Forecasting: Principles and Practice

  Language:Jupyter Notebook468152

• carlos-alberto-silva/rGEDI

  rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.

  Language:R16466

• Gautam5673/Failure_surface_estimator

  Method to estimate the initial landslide failure surface and volumes using grid points and spline curves in MATLAB

  Language:MATLAB73

• modern-tools-workshop/AGU-python-workshop-2021

  Language:Jupyter Notebook118

• aaronjfisher/mcr

  R package for model reliance and model class reliance

  Language:R83

• qx0731/Sharing_ISL_python

  An Introduction to Statistical Learning with Applications in PYTHON

  Language:Jupyter Notebook529266

• sharadgupta27/awesome-sar

  A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

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• yaksoy/SemanticSoftSegmentation

  Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018

  Language:HTML570136

• janishar/mit-deep-learning-book-pdf

  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  Language:Java12.9k2.7k

• sharadgupta27/deep-learning-book

  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

  Language:Python1