aadityagupta Goto Github PK

gluon-ts

Probabilistic time series modeling in Python

hack-night

Hack Night is an open weekly training session run by the OSIRIS lab.

hsa

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

interactive-coding-challenges

Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

interactive_latencies

Jeff Dean's latency numbers plotted over time

interview

Everything you need to kick ass on your coding interview

interview-with-python

The ultimate in python interview preparation and coding practice.

interviews

Everything you need to know to get the job.

itsy-bitsy-data-structures

:european_castle: All the things you didn't know you wanted to know about data structures

java

All Algorithms implemented in Java

java-design-patterns

Design patterns implemented in Java

java-interview-questions

1000+ Java Interview Questions

java8-cheatsheet

A Java 8+ Cheat Sheet for functional programming

javainterviewquestionsandanswers

Java Interview Questions and Answers

keras-rl

Deep Reinforcement Learning for Keras.

kubernetes-certified-administrator

Online resources that will help you prepare for taking the CNCF CKA "Kubernetes Certified Administrator" Certification exam. with time, This is not likely the comprehensive up to date list - please make a pull request if there something that should be added here.

landscape

Open Source AI Landscape: The goal is to build an interactive landscape similar to that of the Cloud Native Computing Foundation (https://landscape.cncf.io/) that sorts through open source projects and products, and shows details including GitHub stars, funding or market cap, first and last commits, contributor count and many more.

learn-sql-the-hard-way

http://sql.learncodethehardway.org/book/

learnisl

Repo for LearnISL App

linksdump

Dump of all links

linux-sysadmin-interview-questions

Collection of linux sysadmin/devop interview questions

machine-learning

Content for Udacity's Machine Learning curriculum

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml_resouces

This is a not-particularly-systematic attempt to curate a handful of my favorite resources for learning statistics and machine learning. This isn’t meant to be comprehensive, and in fact is still missing the vast majority of my favorite explainers. Rather, it’s just a smattering of resources I’ve found myself turning to multiple times and thus would like to have in one place.

mongodb-json-files

:package: A curated list of JSON / BSON datasets from the web in order to practice / use in MongoDB

movies-for-hackers

🎬 A curated list of movies every hacker & cyberpunk must watch.

my-awesome-ai-bookmarks

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

neuro

collection of all things neuro

nkube

Deploy multinode Kubernetes clusters on Kubernetes