A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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Updated
Mar 15, 2019 - Jupyter Notebook
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs
My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python
A collection of various gradient descent algorithms implemented in Python from scratch
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Gradient Descent Algorithm Implementation using NumPy
Subsampled Riemannian trust-region (RTR) algorithms
Solutions to Coursera's Intro to Machine Learning course in python
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Identify which questions asked on Quora are duplicates of questions that have already been asked.This could be useful to instantly provide answers to questions that have already been answered,predict whether a pair of questions are duplicates or not
Predicting wine quality using regression on the well-known UCI data set and more
D3.js | Visualization of the gradient descent algorithm for linear regression
Implementation of Convex Optimization algorithms
A simple demonstration of gradient-descent algorithm in C++ on a linear funciton.
Linear Gradient Descent using C#
Mini-project codes: Java, C++, Matlab, OpenMP, MPI, OpenCL, p_thread and Assembly Language.
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