Plain python implementations of basic machine learning algorithms

A collection of python implementations using SWIG, Instant, F2PY... Optimization like Least Squares Levenberg-Marquardt. Boundary Value problem solvers. Integration Simpson/Trapezoidal. Interpolation like Cubic spline. Tridiagonal/pentadiagonal system of equations solver. Linear algebra like Matrix inversion (Gauss-Jordan) and much more

Basic ML algorithms written from scratch in python using numpy.

These are the Python implementations of FIFO, LRU and OPT page replacement algorithms

C++ and Python implementations of converting degrees to quaternion

Dynamic Mode Decomposition (DMD)

python implementations of the Flajolet-Martin, LogLog, SuperLogLog, and HyperLogLog cardinality estimation algorithms, specifically used to estimate the cardinality of unique traffic violations in NYC in the 2019 fiscal year

Python implementations of Deep Learning models and algorithms with a minimum use of external library.

Fourier transform properties

Algebraic Reconstruction Technique (ART)

easy graph implementation

💻 Data Structures and Algorithms in Python

k-means / k-means++ / elbow-method