Prasad Madhale's repositories
imitation-learning
Imitation learning via Reinforcement Learning using Policy gradient methods and GAIL
3D-Interface
Motion and touch tracking interface using stuff like Aluminium Foil, CardBoard and an Arduino Uno. Built using Processing 3.0 and Arduino IDE.
Algo_Ds_Notes
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-rl
Reinforcement learning resources curated
cs-video-courses
List of Computer Science courses with video lectures.
cw-omnibus
Source code to omnibus edition of _The Busy Coder's Guide to Android Development_
David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
FlappyBirdClone
A simple clone of the famous game Flappy Bird
FlappyBirdGeneticAlgo
Flappy Bird playing agent trained using Genetic Algorithm
gym-gamblers
Gambler's problem environment implemented OpenAI gym-style
gym-tictactoe
OpenAI Gym Style Tic-Tac-Toe Environment
machine-learning
Common Machine Learning algorithms
NeuralNetworkJS
Neural Networks in Javascript using p5.js
ObjectNet3D_toolbox
Toolbox for ObjectNet3D
Processing
Creative Coding Class Processing Tutorials and Examples
Project-RL
Implementations of standard RL problems and algorithms
PythonRobotics
Python sample codes for robotics algorithms.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
robotics-coursework
A curated collection of places where you can learn robotics, algorithms, and useful tools for aspiring robotics software engineers.
self-driving-car-sim
A self-driving car simulator built with Unity
The-Nature-of-Code-Examples
Repository for example code from The Nature of Code book