Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

Python Packages as AWS Lambda Layers

open source training courses about distributed database and distributed systems

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

A curated list of data engineering tools for software developers

⭐️ Companies that don't have a broken hiring process

A repo for data science related questions and answers

Awesome free machine learning and AI courses with video lectures.

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Code for converting, importing, processing, and displaying Kindle, Instapaper, and Safari Books highlights

Reference implementation of a two-level RCN model

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

AutoML library for deep learning

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

NLP tutorials from the Technical Founders YouTube channel.

Best Practices on Recommendation Systems

A library of extension and helper modules for Python's data analysis and machine learning libraries.

The Data Engineering Cookbook

Fit interpretable models. Explain blackbox machine learning.

Hyperparameter Experiments with TensorFlow and Keras

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

Deep learning library in plain Numpy.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A repository containing tutorials for practical NLP using PyTorch

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

A collection of video resources for machine learning

The most cited deep learning papers