my-workspace's repositories
ai-nqueens
This is a n-queen problem solver using local search algorithms.
AI-Programming-using-Python
This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach
CAP5415
Computer Vision course CAP5415 (2012 and 2014)
Computer-Vision-Video-Lectures
A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
conll2003
The conll 2003 dataset
Coursera-Machine-Learning
Coursera Machine Learning - Python code
CS-7641-assignments
CS 7641 - All the code
CS228_PGM
🌀 Stanford CS 228 - Probabilistic Graphical Models
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
dvrp-stochastic-requests
Online algorithms for solving large-scale dynamic vehicle routing problems with stochastic requests
Face-Mask-Detector-using-MobileNetV2
This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights. The trained model (mask-detector-model.h5) takes the real-time video from webcam as an input and predicts if the face landmarks in Region of Interest (ROI) is 'Mask' or 'No Mask' with real-time on screen accuracy.
GeneticAlgorithmTSP
Genetic algorithm code for solving Travelling Salesman Problem
GridUniverse
Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem
LearnSnake
🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)
Practical_RL
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
sentence-based-sentiment-analysis
Sentence Based Sentiment Analysis
Sentiment-Analysis
This repository consists of Sentiment Analysis of Amazon product reviews data using Graph Lab create
Text-Emotion-Analysis
Automate detection of different emotions from paragraphs and predict overall emotion.
TSP-with-HillClimbing
Travelling Salesman Problem implementation with Hill Climbing Algorithm