Aankit Das's Projects
BBA-LAHC is a novel nature-inspired feature selection algorithm developed by hybridizing Binary Bat Algorithm (BBA) and Late Acceptance Hill-Climbing (LAHC) to select the optimal subset from the said feature vectors in order to reduce the model complexity.
Uses DQN algorithm to play original Chrome dino game in real time
bash code
Course Files for Complete Python 3 Bootcamp Course on Udemy
NEAT algorithm playing Flappy Bird
Contains the code for training and evaluating flowers using the YOLOv3 framework
Gnirehtet provides reverse tethering for Android
This snippet takes in any model and outputs the Grad-CAM analysis.
HS-NMRA is a new hybrid feature selection algorithm developed using the versatile Harmony Search (HS) algorithm and a new nature-inspired algorithm called Naked Mole-Rat (NMR) algorithm to select the best subset of features and reduce the model complexity.
NEAT algorithm to play dino game made from scratch
Building my first website
CS 6375 ML project
Simple website that recommends movies based on input (out of 5000 movies)
Mixed a bit of physics with python to make a small planet simulation using real astronomical data.
AI learns to play snake game