Odecomp: Online Tensor Decomposition for the Model Compression of Neural Network
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Updated
Dec 12, 2018 - Python
Odecomp: Online Tensor Decomposition for the Model Compression of Neural Network
implementation of gradient descent algorithm on python
Work done for deeplearning.ai on coursera
A Python package for content-based audio retrieval with text queries.
Custom multilayer perceptron (MLP)
A python package of Zeroth-Order Optimization (ZOOpt)
Flask/MySQL based recommender system for movies
Breast Cancer Classification with Logistic Regression
some ml codes
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
Artificial Intelligence exercises.
AI that analyzes flat/apartment offers and predicts prices, neural network implemented in pure python & numpy.
Different exercises for finding extremas of a function, approximating roots, finding a minimizer, for univariate and multivariate problems.
Implementation of optimization and regularization algorithms in deep neural networks from scratch
Neural network implementation for learning purpose
Here I have taken 5 datasets and applied 5 diffrent Classification algorithm on those datasets and comparision of accuracy.
A simple Neural Network to predict XOR Gate value, Sklearn implementation.
Some scripts written during the Clark Summer Research Program
Sample Convex Optimization using Gradient Descent, Newton's method and Coordinate Descent
📊 Implements a logistic regression algorithm using gradient descent
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