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cache_replacement_policies

Cache Replacement Policies in operating system from scratch

concurrent_trie_in_c

Concurrent trie in C language with proper locking (HOH, single-lock and read-write lock)

data-science-implementations

The repository contains implementation of some data science algorithms

data-structures-and-algorithms-in-python

Basic implementation of Data structures in Python and competitive programming questions

digital_image_processing_filters

fence-removal-using-deep-image-prior

This is a project for removing fences from an image clicked through the fences using Deep Image Prior.

file_transfer_socket_programming

Socket programming

ghcidr

Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.

go-concurrent-ft

Concurrent File transfer using golang

impact_analysis

Impact analysis of software change leveraging ML, NLP models from huge number of test cases and requirement documents written in English – Using Universal Sentence Encoder (USE) model

linux_shell_in_c

Simple Linux terminal (shell) in C language

merged-ghcidr

Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.

mini-twitter

Mini Twitter in python and Mysql using socket programming

ml-decision-trees-from-scratch

Machine Learning - Decision tree model implementation from scratch

ml-linear-regression-from-scratch

Linear Regression (Gradient Descent) from scratch

ml-logistic-regression-neural-networks-from-scratch

Logistic Regression and Neural Networks implementation from scratch

python_game

It is a simple game built in python using pygame module.

pythonc-compiler

Simple Compiler built-in Lex and bison language

riscv_three_stage

RISC-V 3 stage in-order pipeline in verilog

samplingmethods_in_datascience

Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)

sonisiddharth

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks