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carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

carla-rl

Reinforcement Learning Agents Trained in the CARLA Simulator

face-recognition-access-control

人脸实时识别系统，可以实时进行人脸识别，比对，并可以在后台中注册和管理人脸信息，更具安全、保密和方便性。此外，人脸识别速度快，不易被察觉

github-slideshow

A robot powered training repository :robot:

gittest

implementation-matters

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

multiagent-ppo

Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis

ohmyzsh

🙃 A delightful community-driven (with 2,000+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

tf_deep_rl_trader

Trading Environment(OpenAI Gym) + PPO(TensorForce)