mozammalchy Goto Github PK
Name: Mozammal Chowhdury
Type: User
Company: University of Kansas
Location: 1450 Jayhawk Blvd, Lawrence, KS 66045
Name: Mozammal Chowhdury
Type: User
Company: University of Kansas
Location: 1450 Jayhawk Blvd, Lawrence, KS 66045
Deep Reinforcement Learning for Flight Control
Matlab implementation to simulate the non-linear dynamics of a fixed-wing unmanned areal glider. Includes tools to calculate aerodynamic coefficients using a vortex lattice method implementation, and to extract longitudinal and lateral linear systems around the trimmed gliding state.
An open source dynamic simulation for flapping wing robots and animals
Fuzzy PID controler for OpenAI gym pendulum-v0
A toolkit for reproducible reinforcement learning research
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
Modern Gaussian Processes: Scalable Inference and Novel Applications
Generic function interface to standard Common Lisp functions
Implementation of Genetic Algorithm to balance inverted pendulum in OpenAI gym environment
MPC with Gaussian Process
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Gaussian Process Model Dynamic System Identification Toolbox for Matlab
Python files meant to help ease the submission of PDF files from BlackBoard student submissions to Gradescope.
A toolkit for developing and comparing reinforcement learning algorithms.
This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)
Gridworld environments for OpenAI gym.
A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model
Minecraft environment for Open AI Gym, based on Microsoft's Malmo.
Minimalistic gridworld environment for OpenAI Gym
Gym - 32 levels of original Super Mario Bros
GYM Environment for XPlane. Reinforcement Learning and Autonomous Piloting.
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Second-order differentiable PyTorch GRUs in JIT with TorchScript
reinforcement learning with jsbsim and open ai baselines
Autocompletion with Deep Learning on Jupyter Notebook
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.