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abdulmalikdev

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

and102-lab3-starter

Starter code for AND102 Lab 3

atm

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

bankmanagementapp

battleship

A Battleship game created in C Programming Language using Socketing and Networking

benthecoder

42

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

canvas-pixel-color-counter

A web app that counts the number of pixels in an image per a unique color.

celldetectionanalysis

chest-ct-scan-classification

cling

The cling C++ interpreter

color_summarizer_sensory_research

compiler-for-classroom-object-oriented-language-cool-

cp_problems

Implementations of online competitive programming problems

cs-career-club

Website for CS career club

cs537-hw-1

cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

demo_codepath_cybersecurity_assessment_fall2022

detecting_data_races_cs_715

e-graph-optimizer

The project will involve building an optimizer that can analyze the intermediate code generated by the compiler

ecg-noise-cancellation

filesystem

Created a Linux-based tiny file system using POSIX I/O

font-generator-using-vae-and-gan

The Font Generator project aims to generate new fonts by training a deep learning model on a dataset of existing fonts

forkscanner-wallet-integration

Forkscanner allows for the monitoring of multiple bitcoin nodes for a variety of anomalies: nodes lagging behind, inflated blocks, stale blocks and transactions from user-specified addresses. his challenge consists in integrating forkscanner with a bitcoin wallet of your choice to make use of the forkscanner notifications/address watcher

form-filling-application

funing-tuning-model-bert

We will fine-tune a BERT model for text classification. We make use of at least two different BERT fine-tuning models. I have chosen to train multiple models based on a given dataset and a smaller dataset from two separate models differing in architecture, number of examples and BERT’s cased vs uncased.

gans-public

Course notebooks for GANs specializations

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

generative_agents_cs743_project

Creating a simplified version of the sandbox implementation as described in the paper.