Plain python implementations of basic machine learning algorithms
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Updated
Oct 7, 2019 - Jupyter Notebook
Plain python implementations of basic machine learning algorithms
Unique python implementations
These are the Python implementations of FIFO, LRU and OPT page replacement 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.
C++ and Python implementations of converting degrees to quaternion
Dynamic Mode Decomposition (DMD)
Algebraic Reconstruction Technique (ART)
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
easy graph implementation
k-means / k-means++ / elbow-method
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