Pankaj Kumar (pankajkarman)

pankajkarman

Geek Repo

Company:KIT Germany

Location:Karlsruhe

Home Page:https://pankajkarman.github.io/

Twitter:@scientistno2

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Pankaj Kumar's repositories

MieAI

MieAI: a neural network for calculating optical properties of internally mixed aerosols in atmospheric models

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ARTist

Post-processing and plotting ICON-ART output in python

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pankajkarman.github.io

Personal website

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awesome-meteo

A list of python resources to do stuffs related to atmospheric science

Python-for-HPC

Repository for participants of the "Python for HPC" training

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resume

My short resume

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confidenceinterval

The long missing library for python confidence intervals

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Corrformer

About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9

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CRNN

Chemical Reaction Neural Network

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deepxde

A library for scientific machine learning and physics-informed learning

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diffusion-lagr

Synthetic Lagrangian Turbulence by Generative Diffusion Models

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earth2mip

Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to explore and experiment with AI models for weather and climate.

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earthformer

A Python package for Earth forecasting transformer

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FNO_bootcamp

Bootcamp notebooks

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fortran-tf-lib

A library for directly calling TensorFlow / Keras ML models from Fortran.

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gt4py

Python library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language (DSL).

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lexcube

Lexcube: 3D Data Cube Visualization in Jupyter Notebooks

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looper

A resource list for causality in statistics, data science and physics

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MieAI-Fortran

Fortran engine to couple neural network based Mie emulator, called MieAI, with ICON-ART.

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NN-SVG

Publication-ready NN-architecture schematics.

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numpy-ml

Machine learning, in numpy

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pyClimat

This repository contains scripts for Python Module for Climate Data Analysis and Visualization, which is under development. The module performs many climate data analysis like correlation, significance testing, causality testing, estimation of climatologies, etc.

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pytorch-fortran

Pytorch bindings for Fortran

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selectolax

Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).

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tensorly

TensorLy: Tensor Learning in Python.

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tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

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Time-Series-Library

A Library for Advanced Deep Time Series Models.

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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xagg

Aggregating gridded data (xarray) to polygons

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Xee

An Xarray extension for Google Earth Engine

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