ncthanh2000's Stars
massgravel/Microsoft-Activation-Scripts
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
johnthebrit/CertificationMaterials
A collection of materials related to my certification videos
LazoCoder/Pokemon-Terminal
Pokemon terminal themes.
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
antonbabenko/terraform-best-practices
Terraform Best Practices free ebook translated into 🇬🇧🇦🇪🇧🇦🇧🇷🇫🇷🇬🇪🇩🇪🇬🇷🇮🇱🇮🇳🇮🇩🇮🇹🇰🇷🇵🇱🇷🇴🇨🇳🇪🇸🇹🇷🇺🇦🇵🇰
bregman-arie/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
Chanda-Abdul/Grokking-the-Coding-Interview-Patterns
This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.
geshan/au-companies-providing-work-visa-sponsorship
Australian companies that provide work visa (and/or relocation) to their employees (mainly tech).
huntingzhu/Steam_Recommendation_System
Recommendation System, Collaborative Filtering, Spark, Hive, Flask, Web Crawler, AWS EC2, AWS RDS
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
jayinai/data-science-question-answer
A repo for data science related questions and answers
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
rchavezj/Cracking_The_Machine_Learning_Interview
(Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
ycjuan/libffm
A Library for Field-aware Factorization Machines
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
kwsou/video2x
Video upscaler using popular upscaling algorithm waifu2x to magnify and denoise artifacts from low resolution videos