Python implementation of the neural networks without using any libraries from scratch, for prediction using the pre-trained weights
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Updated
Mar 7, 2019 - Python
Python implementation of the neural networks without using any libraries from scratch, for prediction using the pre-trained weights
implementing statistical stuff from scratch
Implementation of C standard library memory-related functions: malloc(), calloc(), realloc(), free() from scratch.
Meelad_Badri Portfolio. Developed it according to the design provided by the designer. The Portfolio has eye catching interface and latest technologies.
Build a kNN (k-Nearest Neighbor) model from scratch to predict 10 test data.
Design and development of a crispy Corn snack masala mixing machine
Implementing the promise pattern in JavaScript from scratch (step by step)
This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: COVID-19 positive, pneumonia positive, and normal. To achieve this, we utilize the COVID-19 Chest X-ray dataset available on Kaggle.
Build a genetic algorithm to find the values of x and y that produce the minimum value of the function h(x, y).
Collection of implementations from scratch (mostly ML)
C++ implementations of Data Structures and Algorithms.
Implementation of Multi-Layer Perceptron with Numpy and CNN with PyTorch in Image Classification
Writing the string class from scratch as an exercise
Ordinary Least Squares, Ridge Regression, Expectation Maximization, Full Bayesian Inference, Bayes Classifiers, kNN, and MLP core algorithms from scratch. Some auxiliary functions are also used.
Build fuzzy logic to find the best 10 workshops from 100 workshop data.
A Python-based command-line tool developed as part of a research project on Machine Learning and IoT. It utilizes a custom implementation of the TF-IDF algorithm to provide interactive and concise three-point answers to IoT-related queries.
Implementation of Java, C, C#, and C++'s switch statement.
Hamming Network implementation using pca implementation for reduction all from scratch
KPCA and LDA implementations.
pylearn_ml191: An implementation of some classical machine learning algorithm
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