JaxSulav/Tokyo-Rescue---A-text-game JaxSulav/Tokyo-Rescue---A-text-game

  • Stars
    star
    1
  • Language ASP
  • Created about 6 years ago
  • Updated about 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
JaxSulav/Tokyo-Rescue---A-text-game
github

JaxSulav

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A very simple text based game with an authentic storyline and interactive UI where you have to rescue a hostage from a building. The project is an implementation of Finite State Machines where state transition is done as response to keypresses.

More Repositories

1

nn_cpp

Implementation of artificial neural network in C++. In this project, a cuztomizable neural network architecture is built from scratch and the model is trained, utilizing the backpropagation algorithm.
C++
5
star
2

Cleaning-data-with-Pandas-Python3-

Before working on any dataset, cleaning the dataset is crucial and takes most of the time. The dataset can contain many missing values which can be filled with various standard techniques. We can always refer to Matthew Brems slides linked alongside to know about those standards.
Jupyter Notebook
5
star
3

PriceProphet

Detection of product prices on an e-commerce website to help sellers determine the perfect price for their used, open box, new or old products.
Jupyter Notebook
3
star
4

Object-Detection-v2

Training a dataset on faster_rcnn_inception_v2_coco as implementation of a tensorflow model for multiple object detection purpose. The labeled dataset of about 300 images were fetched and trained using faster_rcnn_inception_v2_coco model through a pretty decent GPU (local machine) i.e Nvidia GTX 1050.
Python
3
star
5

TensorFlow-Object-Detection

Use of ssd_mobilenet_v1_coco as implementation of a tensorflow model for multiple object detection purpose. The satndard COCO trained dataset is taken and implemented to detect and put a bounding box around the obect showing the name of what the machine is trained to think it is.
Python
3
star
6

Rebalance-----ML-in-Unity

Using Reinforcement Learning to train a piece of floor to balance a ball over it. The PPO (Proximal Policy Optimization) algorithm is used to train the agent. Training process took around half hour with Tensorflow API in CPU and was trained up to 500,000 steps..
ASP
2
star
7

Automated-facebook-events-scraping

Automated scraping of facebook events info and images using beautifulsoup and selenium. A csv file with info, a text file with scraped events list and a folder with images will be created as output in the script's directory
Python
2
star
8

Genetic-Algorithm-in-Unity3D

The application of Genetic Algorithm in Unity's virtual environment to keep record of how fast does this algorithm works to train the agents. Number of generation is tracked as they evolve through.
C#
2
star
9

hologram-detection

Detects certain specific type of hologram from a video. Also, crops out the card and perspective-correction is done.
Python
1
star
10

Lethal-Combat

A simple first person online multiplayer shooter game with the simple capsule shaped players. This is not local multiplayer so it requires the working internet connection.
ASP
1
star