Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Cs Video Courses | 55,887 | 13 days ago | 16 | |||||||
List of Computer Science courses with video lectures. | ||||||||||
C Plus Plus | 24,524 | 5 hours ago | 32 | mit | C++ | |||||
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes. | ||||||||||
Homemade Machine Learning | 21,220 | 25 days ago | 22 | mit | Jupyter Notebook | |||||
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained | ||||||||||
Wavefunctioncollapse | 20,815 | 3 months ago | 2 | other | C# | |||||
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics | ||||||||||
C | 16,283 | a day ago | 19 | gpl-3.0 | C | |||||
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes. | ||||||||||
Nni | 12,923 | 8 | 22 | 6 hours ago | 51 | June 22, 2022 | 281 | mit | Python | |
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. | ||||||||||
Machine Learning Tutorials | 12,876 | 5 months ago | 33 | cc0-1.0 | ||||||
machine learning and deep learning tutorials, articles and other resources | ||||||||||
Halfrost Field | 11,971 | 2 months ago | 6 | cc-by-sa-4.0 | Go | |||||
✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地 | ||||||||||
Numerical Linear Algebra | 9,325 | 2 months ago | 11 | Jupyter Notebook | ||||||
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course | ||||||||||
Mlalgorithms | 9,318 | 2 months ago | 10 | mit | Python | |||||
Minimal and clean examples of machine learning algorithms implementations |
In this repository, you can find all the code from my series of tutorials of Machine Learning with C++: YouTube Playlist.
Fork and clone/download the repository.
To compile simply run the code:
g++ -std=c++11 LinearRegression/LinearRegression.cpp ETL/ETL.cpp main/LinearRegression.cpp -o linregr
To run and test:
./linregr datasets/winedata.csv ","
To compile simply run the code:
g++ -std=c++11 LogisticRegression/LogisticRegression.cpp ETL/ETL.cpp main/LogisticRegression.cpp -o logregr
To run and test:
./logregr datasets/adult_data.csv ","