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andrew-ng-machine-learning-notes

The offical notes of Andrew Ng Machine Learning in Stanford University

austrianoak.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

austrianoakvn

btl_ktmt

Implementation of matrix operations in c++ cuda

clrs

:notebook:Solutions to Introduction to Algorithms

coding-interview-university

A complete computer science study plan to become a software engineer.

cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

cpp-cheatsheet

Modern C++ Cheatsheet

cpp-primer

C++ Primer 5 answers

cpp-primer-5th-edition-exercise-solutions

cryptography

data-science

:bar_chart: Path to a free self-taught education in Data Science!

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

feat2map

D2S: Representing descriptors and scene coordinates

gis81507

heading_estimation

hello-world

First repository

htvt

hust_courses_materials

HUST - SET - Materials

isl-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

java-algorithms-implementation

Algorithms and Data Structures implemented in Java

kuzushiji_mnist_fullstack

End to end implementation of an AI project

learn-machine-learning-in-two-months

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

my_data_structure-in-c-

Data Structure Implementation in C++

mydeeplearningmaterials

implementation of famous deep learning papers

myleetcode

My prep for coding interview

pixel_bitmap

pong_ai

Artificial Intelligence for Pong Game

project-based-learning

Curated list of project-based tutorials