There are 11 repositories under concepts topic.
A collection of learning resources for curious software engineers
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Descriptions of C++17 features, presented mostly in "Tony Tables" (hey, the name wasn't my idea)
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
Physical Quantities and Units library for C++
Range-based goodness for C++17
TE: C++17 Run-time polymorphism (type erasure) library
📜 36 concepts every GraphQL developer should know.
Fast binary logger for C++
Trait introspection and concept creator for C++11
Companion source code for "Programming with C++20 - Concepts, Coroutines, Ranges, and more"
Machine Learning Concepts with Concepts
Concept Bottleneck Models, ICML 2020
:city_sunrise: A simulation of a city using isometric tiles
Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat
Thread pool using std::* primitives from C++20, with optional priority queue/greenthreading for POSIX.
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
A collection of modules which demonstrate some programming concepts and Delphi libraries.
A simple app which shows the lastest movies trailers based on different genres developed using SwiftUI.
(Concepts-enabled) Functional Abstraction Layer for C++
This capsule is the companion code to the Bixby Quick Start guide. The capsule demonstrates use of Concepts and Actions.
List of concepts and code snippets that would help in learning Golang and apply in Web Development 🎉
Code samples from Teach Yourself C++ In One Hour a Day, Ninth Edition by Siddhartha Rao. Released in 2022 this book uses nearly 300 code samples to explain the most modern C++ language features including C++20 and C++23
Content on tips, tricks, advice, practices for naming things in in software/technology
Linear Algebra Fundamentals for Machine Learning
A complementary resource that helps python programmers to learn Haskell
📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
The curation repository for the data behind Concepticon.
A curated list of things every senior engineer should know how to talk about in an interview.
Agorithms and data structures in Python 🐍
Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
how to implement the static interface pattern
Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off"