Pankaj Kumar's Projects
30 days of JavaScript programming challenge is a step by step guide to learn JavaScript programming language in 30 days. This challenge may take up to 100 days, please just follow your own pace.
Module for working with global/regional Chemical Transport Model (CTM) output and observations
Automatic Differentiation Library for Computational and Mathematical Engineering
Auto encoder for time series
Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
a project to visualize Tokyo wind and air pollutants
Self-study on Larry Wasserman's "All of Statistics"
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Applied Deep Learning
Trajectory generation, clustering and Receptor modeling of Arctic Air pollutants
Written from scratch in python.
Post-processing and plotting ICON-ART output in python
Atmospheric Machine Learning
Atmosphere, Ocean and Surface analysis using Artificial intelligence based techniques
keymappings for atom IDE.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A (concise) curated list of awesome Causal Inference resources.
An index of algorithms for learning causality with data
A curated list of Google Earth Engine resources
A curated list of awesome resources for image alignment and stitching ...
A list of awesome applications, software, tools and other materials for Linux distros.
A list of python resources to do stuffs related to atmospheric science
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Tools for extracting tables and texts from papers
BAyesian Model-Building Interface (Bambi) in Python.
Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks
A meta-package simplifying the installation of the BeeWare suite of tools
📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent