An implementation of the floating point addition and subraction using both NASM and C and comparing the two implementations.
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Updated
Feb 9, 2019 - Assembly
An implementation of the floating point addition and subraction using both NASM and C and comparing the two implementations.
Python implementation of the neural networks without using any libraries from scratch, for prediction using the pre-trained weights
KPCA and LDA implementations.
An python implementation of RNN (without deep learning framework)
Implementation of Java, C, C#, and C++'s switch statement.
implementing statistical stuff from scratch
C++ implementations of Data Structures and Algorithms.
Implementing the promise pattern in JavaScript from scratch (step by step)
Implementing the async/await pattern from scratch
Implementation of Multi-Layer Perceptron with Numpy and CNN with PyTorch in Image Classification
Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
Computer science data structures and algorithms implementation from scratch
A Simple Employee Department Management System
pylearn_ml191: An implementation of some classical machine learning algorithm
Implementation of C standard library memory-related functions: malloc(), calloc(), realloc(), free() from scratch.
Build a genetic algorithm to find the values of x and y that produce the minimum value of the function h(x, y).
Build fuzzy logic to find the best 10 workshops from 100 workshop data.
Build a kNN (k-Nearest Neighbor) model from scratch to predict 10 test data.
implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)
Design and development of a crispy Corn snack masala mixing machine
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