Ankit (ankitkariryaa)

ankitkariryaa

Geek Repo

Github PK Tool:Github PK Tool


Organizations
Materials-Consortia

Ankit's repositories

An-unexpectedly-large-count-of-trees-in-the-western-Sahara-and-Sahel

This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".

Language:Jupyter NotebookLicense:MITStargazers:86Issues:7Issues:4

Satellite-Image-Processing-and-Analysis-in-the-Big-Data-Era

Tutorials and examples for the Satellite Image Processing and Analysis in the Big Data Era course

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:8Issues:2Issues:0

separate_instances

Bunch of algorithms to be used during post-processing for separating individual trees.

Language:PythonLicense:GPL-3.0Stargazers:7Issues:2Issues:0

keras-rasterio

A docker image for tree recognition project with keras, tensorflow and rasterio

Language:PythonLicense:Apache-2.0Stargazers:3Issues:2Issues:0

CNN-Sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

Language:PythonLicense:MITStargazers:2Issues:1Issues:0

ML-BackToTheBasics

A repository for very basic implementation of commonly classes of artifical neural networks. Artifical datasets, simple models.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:2Issues:2Issues:0

ankitkariryaa.github.io

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

Language:JavaScriptLicense:MITStargazers:1Issues:1Issues:0

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

Language:JavaScriptLicense:Apache-2.0Stargazers:1Issues:1Issues:0

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

License:MITStargazers:1Issues:1Issues:0

Urban-Rural-classification

A method for classifying a county or district as urban or rural based upon the NHCS urban-rural classification

ssl4eo

SSL4EO:Self-supervised Learning for Earth Observation course

Language:JavaScriptStargazers:0Issues:1Issues:0

Arnold5to15

Sources of the book “Problems for children from 5 to 15” by V. I. Arnold

License:NOASSERTIONStargazers:0Issues:0Issues:0

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Stargazers:0Issues:1Issues:0

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

ConvNeXt-V2

Code release for ConvNeXt V2 model

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

efficient-geopandas-workshop

Workshop materials for the Writing an efficient code for GeoPandas and Shapely in 2023

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

GPDM

Original Pytorch implementation of the GPDM model introduced in "Generating natural images with direct patch distributions matching"

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

iunets

A fully invertible U-Net for memory efficiency in Pytorch.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

MultiPlanarUNet

Multi-Planar UNet for autonomous segmentation of 3D medical images

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

password_meter

This project implements a data-driven password meter. Its effects on password security and usability were evaluated in the following publication: http://www.blaseur.com/papers/CHI17meter.pdf and a demo is available at: https://cups.cs.cmu.edu/meter/

Language:TypeScriptLicense:NOASSERTIONStargazers:0Issues:1Issues:0

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

segment-anything-2

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:JavaScriptStargazers:0Issues:0Issues:0

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Language:PythonLicense:AGPL-3.0Stargazers:0Issues:0Issues:0

voxelmorph

Unsupervised Learning for Image Registration

License:Apache-2.0Stargazers:0Issues:0Issues:0

ZeroShotKnowledgeTransfer

Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

Language:Jupyter NotebookStargazers:0Issues:1Issues:0