paraskoundal Goto Github PK

agami.github.io

ar-cutpaste

Cut and paste your surroundings using AR

awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

awesome-profile-readme-templates

A collection of awesome readme templates to display on your profile

awesome-python-in-education

A curated list about Python in Education :snake: :mortar_board:

datatools

Tools for production and manipulation of data for WatChMaL

eas_simulations-horeka

elevator.js

Finally, a "back to top" button that behaves like a real elevator.

examplenotebooks

Tutorial notebooks

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graphnets

icecube-scripts

Some old scripts from IceCube

icecubeplotting

Extended histogram plotting on top of matplotlib and IceCube collaboration compatible styling

icetop_muons

Work at KIT-IKP on IceTop. Developing method to calculate muon number from IceTop signal.

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

kafe2

Karlsruhe Fit Environment 2: a Python package for parameter estimation

manim

Animation engine for explanatory math videos

millipede_parser

Scripts to parse IceCube realtime alert contours

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

neutrongnn

Graph neural net for neutron captures

notionapi

Unofficial Go API for Notion.so

paraskoundal

pkoundal.github.io

prettysounds

turning pictures into sounds

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

simgnn

stat4astro-autrans

statisticalmethods

Course notes and resources for Stanford University graduate lecture course PHYS366: Special Topics in Astrophysics: Statistical Methods

vae

Python codebase for the Variational Autoencoder for Water Cherenkov detectors

workshops

Notes, scripts, and exercises for data science workshops put on through ECOSCOPE (http://ecoscope.ubc.ca/)