Mashrukh Zayed's Projects
The Asynchronous Advantage Actor Critic (A3C) algorithm is one of the newest algorithms to be developed under the field of Deep Reinforcement Learning Algorithms. This algorithm was developed by Google’s DeepMind which is the Artificial Intelligence division of Google. In this repository, I have my implementations of A3C on Cartpole game, Robot arm, etc.
This repository contains my ongoing project on "Bangla License Plate Recognition using YOLOv4 & PyTesseract". YOLOv4 algorithm is used for the Detection part, then PyTesseract is used for the recognition part. Further work is in progress.
In this repository, most of the programs are the written in basic C language. These are the programs with which I started learning programming became a coding enthusiast.
This classification task is specifically dependent on a video dataset that includes video clips of kill and death scenes from the first-person shooting game “CS Go”. I have used the ResNet-50 model for image classification and then turn it into a more accurate video classifier by employing the rolling averaging method.
Deep Deterministic Policy Gradient (DDPG) is a model-free off-policy algorithm for learning continuous actions. It is a reinforcement learning technique that combines ideas from DPG (Deterministic Policy Gradient) and DQN (Deep Q-Network). From DQN, it uses Experience Replay and Slow-learning target networks. From DPG, it incorporates Operating over continuous action spaces.
This is the first-ever project I have done using the Python programming language. During the third year of my undergraduate study, I learned the Django framework and became interested in building websites associated with JavaScript. Under the influence of excitement, I built a personal website using Django, where I can create separate profiles, record information, upload personal files, etc. I also used HTML, CSS, JavaScript, bootstrap at different levels of the project.
1. frames.py ::: Extract all frames according to default fps. 2. fixed_fps.py ::: Extract all frames with a fixed fps. 3. fixed_fps_length.py ::: Extract all frames with a fixed fps and untill a defined video length.
Clean Architecture template for Golang services
☕ A practical event-driven microservices demo built with Golang. Nomad, Consul Connect, Vault, and Terraform for deployment
GO RestAPI using MySQL database with JWT Authentication
This research work aimed to develop a handwritten character recognition model using a deep convolutional neural network and analyze the three complete datasets: BanglaLekha Isolated, CMATERdb, and Ekush and get significant accuracies for all the character classes, considering the maximum number of samples they have. The aim was to improve the basic structure of OCR based identification of documents and exam papers for the educational institutes with Bangla medium.
Baby steps through K8s
This project includes some works of functions in C++, files, graphics and some conditions. It helps students to think about prediction mathematically. There are 100 numbers from 0-99 in a list and if one take a number in mind from it, my project finds out the exact number in only six steps. It includes graphics work in every step.
This repository holds my study and understanding on the applications of Multi Agent Behavior Cloning in real world problems.
This Repository holds my study and understanding on the applications of Multi Agent Reinforcement Learning in real world problems.
Config files for my GitHub profile.
This project is a part of my second research work on “Real-Time Detection and Recognition of traffic signs in Bangladesh using YOLOv3 Detector”. I used Keras library to build the YOLOv3 model from scratch and loaded it with a pre-trained weight file. Then I used both Keras and TensorFlow to load the model and detect several classified objects in images.
This repository contains almost all the problems I have solved on the UVa online judge.
This repository contains my project on a web application for specific person detection from a video stream. Few further modification can also detect persons from a real-time video stream.
ML Coding Task
In this repository, I have uploaded the programs from the programming contests I have attended
This project is a part of my ongoing research work on “Real-Time On-Road Vehicle Detection and Distance Estimation”. For this project, I have used the YOLOv4 algorithm (published in April 2020) which is considered the fastest and most accurate version of YOLO.