pratyusv Goto Github PK

mav_dji_ros_interface

Interface of DJI autopilot based on its OSDK (3.2)

mav_trajectory_generation

Polynomial trajectory generation and optimization, especially for rotary-wing MAVs.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml19-20a

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

multicoptersim

Simple C++ cross-platform Multirotor flight simulator using UnrealEngine4

my-awesome-ai-bookmarks

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

nnv

Neural Network Verification Software Tool

osrm-backend

Open Source Routing Machine - C++ backend

overcoming-exploration-from-demos

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

ping

Script that keeps a track of the Nodes connected to the network for online monitoring.

pratyusv

Config files for my GitHub profile.

pratyusv.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

px4_data_collection

python

All Algorithms implemented in Python

python-control

quadcopter_simulator

A quadcopter simulator with single and multi-quad simulations

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rotors_simulator

RotorS is a UAV gazebo simulator

spinningup

An educational resource to help anyone learn deep reinforcement learning.

temp_github_repo

Personal Website: https://pratyusv.github.io

tensorflow

Computation using data flow graphs for scalable machine learning

trajopt

verification_guided_training

The code here implements verification guided training scheme for neural network plant models. The verification scheme uses SHERLOCK to implement range propagation idea, and Tensorflow to train the Neural Network.

wiki

Contains all the material covered in the lectures