Pinned Repositories
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Ai-Learn
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
DRL-Energy-Management
Deep reinforcement learning based energy management strategy for hybrid electric vehicle
easy-rl
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
lihang-code
《统计学习方法》的代码实现
Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
mybatis-3
MyBatis SQL mapper framework for Java
pythonProject
RL-Solutions
强化学习第二版习题解答与代码案例 Solutions and codes for Reinforcement Learning second edition
zdf1840's Repositories
zdf1840/DRL-Energy-Management
Deep reinforcement learning based energy management strategy for hybrid electric vehicle
zdf1840/mybatis-3
MyBatis SQL mapper framework for Java
zdf1840/-
zdf1840/Ai-Learn
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
zdf1840/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
zdf1840/easy-rl
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
zdf1840/lihang-code
《统计学习方法》的代码实现
zdf1840/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
zdf1840/pythonProject
zdf1840/RL-Solutions
强化学习第二版习题解答与代码案例 Solutions and codes for Reinforcement Learning second edition
zdf1840/Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
zdf1840/tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥