tinyzqh Goto Github PK

ainews

algorithms_note

算法工程师技术栈学习笔记

awesome-machine-learning

Learning Resources And Links Of Machine Learning（updating）

awesome-reinforcement-learning

Learning Resources And Links Of Reinforcement Learning （updating）

awesome-robot-operating-syetem

Learning Resources And Links Of Robot Operating System（updating）

code-of-csdn

csdn上面的一些相关代码

computer-course-design

computer course design of east china Jiaotong university

computer_room_reservation_system

C++机房预约系统

control-of-jump-systems-based-on-reinforcement-learning

Code for the paper “Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning”

course-notes

Here are some notes I took during my own deep learning, machine learning sessions

cross-entropy-method-series

Implementing various cross-entropy methods

demo-of-few-shot-learning

some basic demo of few-shot learning

erlang-planning-network

Implementation of the paper "Erlang planning network: An iterative model-based reinforcement learning with multi-perspective".

face_recognition

人脸识别示例代码

gptstore

轻松构建自定义GPT助手，GPTStore。

gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

ielts

IELTS word list, for Chinese who wants to take IELTS

ielts_100_sentence

100局句子记完雅思7000个雅思单词

light-maic

light_mappo

Lightweight version of MAPPO to help you quickly migrate to your local environment.

mappo_extent

opencv-computer-vision-practice-python-

Opencv 计算机视觉实战

pythonrobotics

Python sample codes for robotics algorithms.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

resource-of-wechate

个人公众微信号上的资源

theorem_in_rl_and_game

Video Material of Reinforcement Learning and Algorithm Game Theory in Bilibili.

tiger

TIGER: Towards Intelligent Guidance of Large-scale Language Models for Efficient Control Responses.

tinyzqh

Config files for my GitHub profile.

tinyzqh.github.io

torch_optimizer_visualizations

Visualize PyTorch's Optimizers.