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šŸ‘‹ Hi there, Iā€™m Paras !

  • šŸ‘€ Iā€™m interested in Computer Vision, Natural Language Processing, ML/AI and Robotics.
  • šŸ‘Æ Iā€™m looking to collaborate on anything that cover my interests!
  • šŸ“« You can reach me at [email protected]

  • šŸš€ Skills

Paras's github stats

Paras Savnani's Projects

16_bit_puzzle icon 16_bit_puzzle

This project implements the generalized solver for an n*n bit puzzle using the Breadth First Search algorithm. It has a Node class having the attributes and methods useful for executing the BFS algorithm. Also, it keeps track of the parent node for backtracking after finding the goal state for the puzzle. It uses the deque class from collections module as the data structure to optimize the enqueue and dequeue operations.

advanced-lane-detection icon advanced-lane-detection

In this project we aim to do simple Lane Detection and Turn Prediction to mimic Lane Departure Warning systems used in Self Driving Cars.

agile_autonomy icon agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

autogpt icon autogpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-vision-transformers icon awesome-vision-transformers

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

depth-estimation-using-stereovision icon depth-estimation-using-stereovision

In this project, we try to implement the concept of Stereo Vision. We test the code on 3 different datasets, each of them contains 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of objects.

dqn-on-breakout-v0 icon dqn-on-breakout-v0

Deep Reinforcement Learning pipeline to learn control policies for the Atari Breakout OpenAI gym Environment .

frameforge icon frameforge

An end-to-end web based interface to detect AI generated deepfake videos.

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