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Ankita Sharma's Projects

crop-yield-prediction-in-india-using-ml icon crop-yield-prediction-in-india-using-ml

The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques. This helps the farmers to know the crop yield in advance to plan and choose a crop that would give a better yield.

flint icon flint

Full Lands INtegration Tool: a modular system to estimate greenhouse gas emissions and removals by the land sector

flint.cloud icon flint.cloud

The project aims to demonstrate a continuous deployment pipeline for FLINT.

landslide-inventory icon landslide-inventory

This repo contains all the scraped landslide related descriptions, fact extraction for those descriptions using NLP techniques, connection of GIS database to pymongo, conversion of all the available csv data to geojson for maintaing GIS database, querying landslides in specific region then converting it to shapefiles.

languageserver icon languageserver

A language server written in Python which generates a sample meta data (please see the list below), and transfers it to the received jsonrpc client.

lpyth icon lpyth

LPython language support for Visual Studio Code

metrics icon metrics

Machine learning metrics for distributed, scalable PyTorch applications.

ocr icon ocr

Optical Character Recognition using tesseract

pyimageedits icon pyimageedits

The library contains optimized implementation to play with `.ppm` images of type `P3` by providing features like image resize, horizontal flip, vertical flip, rotate image, image filters etc.

pyphysim icon pyphysim

Simulation of Digital Communication (physical layer) in Python.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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