deeplearningproject

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

deep_learning_for_vision_systems

This repository accompanies the book "Deep Learning for Vision Systems".

defi-developer-road-map

DeFi Developer roadmap is a curated Web3.0 Developer handbook which includes a list of the best tools for DApps, development resources and lifehacks.

developer-roadmap

Roadmap to becoming a web developer in 2021

devops-books

"DevOps has helped us do very frequent releases, giving us an edge on time to market. We are now able to make daily product releases as opposed to 6-month releases, and push fixes to our customers in a span of a few hours." ― Hamesh Chawla

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

devops-the-hard-way-aws

This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS

digital-ocean-app

discover-flask

Full Stack Web Development with Flask.

distributed_systems_notes

My collection of handwritten notes and resources for learning distributed systems

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

docker-curriculum

:dolphin: A comprehensive tutorial on getting started with Docker!

docker_practice

Learn and understand Docker technologies, with real DevOps practice!

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

effectivetensorflow

TensorFlow tutorials and best practices.

elm-in-action

Resources for the Elm In Action book.

engineering-blogs

A curated list of engineering blogs

es6-cheatsheet

ES2015 [ES6] cheatsheet containing tips, tricks, best practices and code snippets

established-remote

A list of established remote companies

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

faceforensics

Github of the FaceForensics dataset

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

fastai-v3

Starter app for fastai v3 model deployment on Render

fastbook

The fastai book, published as Jupyter Notebooks

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

first-contributions

🚀✨ Help beginners to contribute to open source projects

free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

free-oreilly-books

Free O Reilly Books