Name: Pankesh Bamotra
Type: User
Company: Autodesk, Ex-Coupang, CMU-Pittsburgh
Bio: pythonista, machine learning, numbers, pankesh.com
Twitter: _pbamotra_
Location: San Francisco
Blog: https://www.pankesh.com/
Pankesh Bamotra's Projects
CMU Summer 15513 - Intro to Computer Systems - Prof. Filardo
āāā Seeking to promote productivity within thyself āāā
Collection of board exam docs 2014-2015
Abhishek Bamotra Resume
Ask @holman anything!
A collection of useful resources to learn and improve your AngularJS skills.
An AngularJS (frontend) + Flask / Python (backend) Boilerplate Application
Seed project for angular apps.
AngularJS in patterns - this repository provides different look into AngularJS. It contains information where different design patterns are used inside the framework or any AngularJS application.
angularjs-styleguide
A repo that shows how to create the same AngularJS service using three different patterns, Service, Factory, and Provider.
Annotate python source code
š§ Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.
Instant mobile web app creation
:beginner: Jekyll template for writing a book
A curated list of awesome lists
List of awesome university courses for learning Computer Science!
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of delightful Node.js packages and resources.
A curated list of awesome Python frameworks, libraries and software
Throwing a 'what' to everything machine leanring
Deep learning project to transfer font styles from Google fonts to handwritten characters
:link: Some useful websites for programmers.
Big-O Complexities / Poster of common algorithms used in Computer Science
Interactive Web Plotting for Python
Source Code for the book Building Machine Learning Systems with Python