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Saumya Mehta's Projects

100daysbackenddev icon 100daysbackenddev

This repo contains learnings from backend development. Main programming language will be golang.

2021-puzzle-graph-traversal-team-assignment icon 2021-puzzle-graph-traversal-team-assignment

Solved 2021 puzzle using heuristics and A* search algorithm. Solved graph traversal using segments, distance and time based heuristics and A* search. Minimum cost team allocation using cost based heuristics

ai-researcher-interview-prep icon ai-researcher-interview-prep

Repository contains leetcode questions, mathematical concepts and applied machine learning, reinforcement learning techniques codes

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

autograder icon autograder

Implemented hough transformation and canny edge detection to extract OMR regions from answer sheet. Used K means clustering to detect filled regions. Encrypted and injected correct answers in the answer sheet using barcodes

blog-posting-site icon blog-posting-site

Made a blog posting site where user can post, edit, delete and view all available public blogs.

ddpg-experiments icon ddpg-experiments

This repository contains my experiments on OpenAi environments using Deep deterministic policy gradients

dm_control icon dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

fetch-and-slide-hre-pre icon fetch-and-slide-hre-pre

In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements

games-and-bayes icon games-and-bayes

Created Animated (faster version) and simple (slower version) of AI for Qunitris game using expectminimax algorithm that learns probability distribution of pieces as the game goes on. Created chess playing AI using minimax algorithm. Create a simple naive bayesian classifier from scratch

image-mapping icon image-mapping

Mapping images via feature mapping. Used ORB to calculate feature keypoints and descriptors. Used PCA to analyse components and applied KMeans clustering to cluster similar images

image-stitching icon image-stitching

Selected stitching points on both images using ORB and used RANSAC to remove outliers. Transformed images using homography matrix which allowed for stitching both images

image-transformations icon image-transformations

Created transformation matrices based on options from command line including Translation, Eucledian/ Rigid Transformation, Affine transform. Created an inverse wrap by multiplying a homogeneous point with inverse translation matrix and used Bilinear interpolation to fill in the remaining gaps

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