mengsicode,github

cheat_sheets_of_python_libraries

This repository contains the bunch of cheat sheets of diffenrent python libraries which are used in order to develop data science application.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

django-baton

A cool, modern and responsive django admin application based on bootstrap 4.5.0 - https://otto-torino.github.io/django-baton

django_samples

Provides some samples code to code fast using django

drawing_manipulator

Use manipulator draw a picture! Look once and draw it!

dsr

[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mec_drl

Deep reinforcement learning for mobile edge computing

modernrobotics

Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

optimizers.numpy

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

parrot-ar-drone-env

A Parrot AR Drone Environment for RL(tested on Python3)

point-cloud-processing-example

点云库PCL从入门到精通书中配套案例

pybullet-gym

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

pythonrobotics

Python sample codes for robotics algorithms.

quick-notepad-with-cpp

re3-pytorch

Re3 in PyTorch

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.