saad-hussain31 Goto Github PK

algorithmica

New version of the website

awesome-os

A list of operating systems and stuff

bert-for-sentiment-prediction

Used BERT model with fine tuning it with one additional output layer for the sentiment prediction. This model takes some sequence as an input, it then looks left and right several times (perform computation based on conditional probabilities) and returns the sentiment of the input sentence. Training was done for 5 epochs to achieve the accuracy of 84%. The model is also served using python’s flask API.

certifications

Certificates from different MOOCs.

chat-app

A chat application written in Java.

complete-feature-selection

cppbestpractices

Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

customer-analytics-

Segmentation of customers using unsupervised learning algorithms and applying deep learning model for future prediction about most fruitful segment of customers.

data-structures-algorithms

Coding problems in C++

deep-learning-

This repo contains the code that I wrote while reading the book "Deep learning with Python" by François Chollet. The code may contain minor changes such as different hyperparameters because I was playing with the code at the time of learning.

defaulter-classification

I am interested in predicting whether an individual will default on his or her credit card payment, on the basis of annual income and monthly credit card balance. First I will use Logistic regression with 1 feature only (balance) and then multiple logistic regression with 2 features (balance and income).

distributed-algorithms

Implementations of the Algorithms from the text Introduction to Reliable & Secure Distributed Programming. This repo also contain experimental code that documents my distributed computing learning journey.

distributed-p2p-membership-protocol

Implementation of a distributed membership protocol designed to detect node join, failure, and leave events accurately and completely within a peer-to-peer network.

distributed_map_reduce

C++ framework for Map/Reduce paradigm

djangoblog

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ds-portfolio

fastai-ml1

The fastai deep learning library, plus lessons and and tutorials

go_microservices

Source code of the LinkedIn learning course Build a Microservice with Go

haar-cascade

Face detection by Fourier transforms of filters, edge detection in OpenCV.

hello-world

my first repository.

intermediate-cpp

This repo contains the source code of my video series on c++ programming.

interview-prep

Interview Prep

islr-python

learning-directory

The outcome of this project will be a web app called Learning Log that will allow users to log the stuff they study and keep track of it as they learn about it. The home page will invite users to either register or log in. Once logged in, a user will be able to create new topics, add entries and edit already existing entries.

learning-go

logcabin

LogCabin is a distributed storage system built on Raft that provides a small amount of highly replicated, consistent storage. It is a reliable place for other distributed systems to store their core metadata and is helpful in solving cluster management issues.

loxpp

C++ implementation of lox, a dynamically-typed, interpreted programming language

medical-imaging-datasets

A list of Medical imaging datasets.

miniraft-cpp

Raft Consensus Algorithm. Uses in-house C++20 coroutines-based library for communications. Tested with unit-tests.