iambalajik's Stars
python/cpython
The Python programming language
Homebrew/brew
🍺 The missing package manager for macOS (or Linux)
checkcheckzz/system-design-interview
System design interview for IT companies
mlflow/mlflow
Open source platform for the machine learning lifecycle
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
careercup/CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
priyankavergadia/google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
deepjavalibrary/djl
An Engine-Agnostic Deep Learning Framework in Java
databricks/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
afshinea/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
aburkov/theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
bephrem1/interviewpen
Code samples for Back to Back SWE lessons (archive).
rcongiu/Hive-JSON-Serde
Read - Write JSON SerDe for Apache Hive.
mrinal1704/SQL-Leetcode-Challenge
Contains all the 117 Leetcode questions with their solutions ranging from Easy to Hard in MySQL.
awslabs/datawig
Imputation of missing values in tables.
xianzhez/Coding-Interview-101
Coding interview tips
lolapriego/coursework
Checklist of videos and exercises that you can follow if you want to get a good baseline for Data Structures and Algorithms.
gordicaleksa/pytorch-GANs
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
codingforinterviews/practice-problems
Prepare for programming interviews with pretty practice problems.
mlflow/mlflow-example
An example MLflow project
quux00/hive-json-schema
Tool to generate a Hive schema from a JSON example doc
dgadiraju/data
Vishal-V/100-Days-of-ML-Code
A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.
jleetutorial/sparkTutorial
Source code for James Lee's Aparch Spark with Java course
mlflow/mlflow-apps
MLflow App Library
bhaskarjitsarmah/projects
This repo contains projects completed in various Coursera courses