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GuYuanKun's Projects

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fastdeploy icon fastdeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

finrl icon finrl

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

finrl-meta icon finrl-meta

FinRL­-Meta: A Universe for Data­-Driven Financial Reinforcement Learning. 🔥

fry_course_materials icon fry_course_materials

范仁义录播课资料,会依次推出各种完全免费的前端、后端、大数据、人工智能等课程,课程网站: https://fanrenyi.com ; b站课程地址: https://space.bilibili.com/45664489 ;

gan_practice icon gan_practice

dcgan,wgan and improved wgan implementation by tensorflow

gaussianprocesses icon gaussianprocesses

Python3 project applying Gaussian process regression for forecasting stock trends

gcrl-her icon gcrl-her

Goal Conditioned RL and Hindsight Experience Replay

george icon george

Fast and flexible Gaussian Process regression in Python

googletest icon googletest

Googletest - Google Testing and Mocking Framework

graphneuralnetwork icon graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

gykrl icon gykrl

实现各种强化学习算法

keras-gcn icon keras-gcn

Keras implementation of Graph Convolutional Networks

lstm_stock icon lstm_stock

Learing the process of LSTM, and use keras achieve stock prediction using LSTM。LSTM步骤解释,然后使用keras实现用LSTM预测股票走势

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

maddpg icon maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

marl-algorithms icon marl-algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

mcts-1 icon mcts-1

Python Implementations of Monte Carlo Tree Search

mortal icon mortal

🚀🀄️ A fast and strong AI for riichi mahjong, powered by deep reinforcement learning.

mujoco-py icon mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

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