Pankaj Kumar's repositories
pankajkarman.github.io
Personal website
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
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
CRNN
Chemical Reaction Neural Network
deepxde
A library for scientific machine learning and physics-informed learning
diffusion-lagr
Synthetic Lagrangian Turbulence by Generative Diffusion Models
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.
earthformer
A Python package for Earth forecasting transformer
FNO_bootcamp
Bootcamp notebooks
fortran-tf-lib
A library for directly calling TensorFlow / Keras ML models from Fortran.
lexcube
Lexcube: 3D Data Cube Visualization in Jupyter Notebooks
looper
A resource list for causality in statistics, data science and physics
MieAI-Fortran
Fortran engine to couple neural network based Mie emulator, called MieAI, with ICON-ART.
numpy-ml
Machine learning, in numpy
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.
pytorch-fortran
Pytorch bindings for Fortran
selectolax
Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
space
SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding
tensorly
TensorLy: Tensor Learning in Python.
tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Time-Series-Library
A Library for Advanced Deep Time Series Models.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
xagg
Aggregating gridded data (xarray) to polygons
Xee
An Xarray extension for Google Earth Engine