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Deepak Ramani's Projects

basicad_framework icon basicad_framework

This repo contains the files for building a basic autonomous driving framework

blog icon blog

This is my blog where I write about technical, nerdy things about basic setup, tools, ideas, research papers, robotics, data analysis, ML/DL, and anything that I feel might help people.

blog_comments icon blog_comments

This repo allows utterances to create new comments as issues

boiled-leather icon boiled-leather

A script to create boiled leather reading order of AFFC and ADWD (a part of the ASOIAF)

carnd-path-planning-project icon carnd-path-planning-project

In this project, the goal is to design a path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic. A successful path planner will be able to keep inside its lane, avoid hitting other cars, and pass slower moving traffic all by using localization, sensor fusion, and map data.

deeptraffic icon deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

docker_tutorial icon docker_tutorial

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

dotfiles icon dotfiles

All my dotfiles essential to setup a new environment go here.

fastsetup icon fastsetup

Setup all the things to run ML fastai tasks in AWS EC2 instance.

gtai icon gtai

Building a self driving car for GTA 5

masterarbeit icon masterarbeit

Contains all the tex and papers used in creating the report.

model-predictive-control icon model-predictive-control

This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.

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