Hassan Ashfaq's Projects
A Database is an organized collection of structured information, or data, typically stored electronically in a computer system. The data can then be easily accessed, managed, modified, updated, controlled, and organized.
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
The Denclue Algorithm employs a Cluster Model Based On Kernel Density Estimation. A Cluster is defined by a local maximum of the estimated density function. Data points are assigned to clusters by hill climbing, i.e. points going to the same local maximum are put into the same cluster.
The DES (Data Encryption Standard) algorithm is a symmetric-key block cipher created in the early 1970s by an IBM team and adopted by the National Institute of Standards and Technology (NIST). The algorithm takes the plain text in 64-bit blocks and converts them into ciphertext using 48-bit keys.
In this project, we implemented a special type of DHT that has a circular identifier space, named Ring DHTs.
EscVM YouTube Channel Repository
MeshJoin For 2 Master Table Join
Resources of FAST-NUCES 2018-2022
The FIT-ME management system is an easy way to use the gym and health membership system. It can help to keep the records of registered members, guidance which exercises and muscle groups to work out together, how much weight loss is required, their diet plans, logs of calories, daily targets to achieve.
FaceNet for Face Recognition Using PyTorch
In this project, I implemented an Algorithm that Optimizes the input Bipartite Graph and minimizes the no. of cuts and crosses among each node in Bipartite Graph.
In this project, I created a SPARQL Endpoint for Knowledge Graph using Django & SparkQL as the back-end & HTML, CSS & Bootstrap as Front-End. This Application Helps us to use GraphDB as BackEnd Graph Database.
Profile
In this Project, I executed machine learning models that can classify between images of T-shirts and dress-shirts.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
K-means Clustering is one of the Simplest and Popular Unsupervised machine learning Algorithms. In other words, the K-means Algorithm identifies k number of centroids, and then allocates every data point to the nearest cluster, while keeping the centroids as small as possible.
K-Nearest Neighbors Algorithm (KNN) is a non-parametric classification method First Developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover. It is used for Classification and Regression. In both cases, the input consists of the k closest training examples in a data set.
A resource for learning about Machine learning & Deep Learning
In this Project, I implemented Matrix Multiplication Algorithm Using MPI. The Matrix Algorithm Split Matrix into Chunks & Preform Multiplication Using MPI.
In this Project, We have to design Algorithum to preform Matrix Multiplication using MPI (Parallel Distributed Computing).
I Implemented a Near Real-time Data Warehouse Prototype for METRO. To mimic the near real-time Data Warehouse using 10,000 Transaction from METRO Against 100 products present in the Master Data.
Free MLOps course from DataTalks.Club
In this Project, I implemented Major Functions From Scratch. The MPI standard defines the syntax and semantics of library routines that are useful to a wide range of users writing portable message-passing programs in C, C++
In this project, I implemented a Multi-threaded Ludo Game Using Operating System Concepts in C++. This Project can only execute on Linux Distributions Like Ubuntu etc.
Naïve Bayes Algorithm is a Classification technique based on Bayes' Theorem with an assumption of independence among predictors.
In this Guide, I implemented all Transformations that can be done on images from Scratch, which works like OpenCV Function Calls. More to be Added Sooon...
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent