kushagra06 Goto Github PK

aboutme-page

Short description about me

algorithms

Some algorithms implemented. ( Will be updated frequently, new algos will be added )

astropy

Repository for the Astropy core package

competitive-programming

Codes related to competitive coding ( codeforces(cf), hackerrank(hr), hackerearth(he), codechef(cc) ).

cs221_ai

🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques

cs224n_nlp

🍚 Stanford CS224n: Natural Language Processing with Deep Learning

cs228_pgm

🌀 Stanford CS 228 - Probabilistic Graphical Models

cs229_ml

🍟 Stanford CS229: Machine Learning

cs230_dl

♊ Stanford CS230 : Deep Learning

cs231n_cnn

🍉 Stanford CS231n Convolutional Neural Networks for Visual Recognition

cs234_rl

🐲 Stanford CS234 : Reinforcement Learning

cs236_dgm

🦍 Stanford CS236 : Deep Generative Models

data-science-cheatsheet

A helpful 5-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

dc-entropy

ddpg

Deep Deterministic Policy Gradient (Deep RL algorithm)

developers.italia.it

La comunità italiana degli sviluppatori di servizi pubblici

distributedrl_mapf

Distributed RL/IL code for Multi-Agent Path Finding (MAPF)

grid-modrl

gui

Software for electrophysiology data acquisition

hierarchical_map_compiler

hierarchical_map_python

icarus

Stellar binary light curve synthesis tool

kcrl-docs

kushagra06.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

linux-cheatsheet

Cheatsheet of frequently used commands in Linux

maltpynt

This is a mirror of a Bitbucket repository, and I use it mainly for continuous integration with Travis CI. Please use the other repository for pull requests and Issues.

markdown-cv

a simple template to write your CV in a readable markdown file and use CSS to publish/print it.

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

model_completion_dashboard

Model Completion Dashboard

multi-objective-bandits

Implementation of the paper "Multi-objective Bandits: Optimizing the Generalized Gini Index" by Robert Busa-Fekete. An extension involves the placement problem where companies are associated with various factors and the optimal company for the candidate is to be chosen.