shlokashah

CoderEval

A collection of practical code generation tasks and tests in open source projects. Complementary to HumanEval by OpenAI.

learn_devops

I am using this repository to document my devops journey. I follow the process of learning everything by tasks. Every task has an associated objective that encompasses an underlying concept. Concepts including CloudProviders, Containers, ContainersOrchestration, Databases, InfrastructureAsCode, Interview, VersionControl etc in progress

awesome-mlops

A curated list of references for MLOps

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

book-1

resque

Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.

school-of-sre

At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.

aws-lambda-cheatsheet

AWS Lambda cheatsheet.

CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

factory_bot

A library for setting up Ruby objects as test data.

rspec-rails

RSpec for Rails 6+

golang-tutorials

Golang Tutorials. Learn Golang from Scratch with simple examples.

AlgoWiki

Repository which contains links and resources on different topics of Computer Science.

ctci-python-solutions

Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

udacity-nanodegree-react

Study notes and projects from the Udacity's React Nanodegree program

stock_quote

A ruby gem that retrieves stock quotes from IEX

Tech-Interview-Cheat-Sheet

Studying for a tech interview sucks. Here's an open source cheat sheet to help

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

mc2

A Platform for Secure Analytics and Machine Learning

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

netron

Visualizer for neural network, deep learning and machine learning models

interview

Interview questions

interviews

Everything you need to know to get the job.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

Data-Science--Cheat-Sheet

Cheat Sheets

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

seaborn

Statistical data visualization in Python

matplotlib-tutorial

Matplotlib tutorial for beginner