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Fakhriddin Tojiboev's Projects

cnpy icon cnpy

library to read/write .npy and .npz files in C/C++

dla icon dla

Deep learning for audio processing

generativemodels icon generativemodels

Final project and home assignments from Generative Models in Machine Learning course

lusol icon lusol

The main purpose of doing this project is to implement an effective algorithm for factorizing a sparse matrix into lower (L) and upper (U) matrices. The algorithm works on the basis of LU decomposition. I took into account the Markowitz criterion to maintain the sparsity of the matrix. Since the matrix is sparse, I used a different data structure, which in turn allows the program to run faster and use less memory. To test how the program works, it generates a random dense vector and solves a system of linear equations

swinir icon swinir

ML final project 2022. SwinIR+projection/FISTA pipeline for denoising and deblurring.

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