carlwcheung's Stars
charlax/professional-programming
A collection of learning resources for curious software engineers
cl2333/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
kuchin/awesome-cto
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
steshaw/plt
Programming Language Theory λΠ
mxssl/sre-interview-prep-guide
Site Reliability Engineer Interview Preparation Guide
seanprashad/leetcode-patterns
A pattern-based approach for learning technical interview questions
jeanqasaur/learn-programming-languages
Resources for the working programmer to learn more about the fundamentals and theory of programming languages.
theanalyst/awesome-distributed-systems
A curated list to learn about distributed systems
arialdomartini/Back-End-Developer-Interview-Questions
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
e-271/awesome-few-shot-learning
A curated list of resources about few-shot and one-shot learning
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
ansible/ansible
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
google/guava
Google core libraries for Java
prtkm/ising-monte-carlo
Statistical Mechanics 2D Ising Model Simulations
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
IBM/Contrastive-Explanation-Method
Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives”
andreysharapov/xaience
All about explainable AI, algorithmic fairness and more
MarcelRobeer/ContrastiveExplanation
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
sheqi/GAN_Review
A Survey and Taxonomy of the Recent GANs Development，computer vision & time series
fikovnik/ShiftIt
Managing windows size and position in OSX
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
davified/clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
davidADSP/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'