Pinned Repositories
Fractional-Deep-Reinforcement-Learning-for-Age-Minimal-Mobile-Edge-Computing
Tensorflow implementation of the algorithm of Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. Please refer to our paper https://ojs.aaai.org/index.php/AAAI/article/view/29192.
HOG_SVM
使用HOG+SVM进行图像分类
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Stanford-CS-229-CN
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
tensorflow-image-classification
CNN for multi-class image recognition in tensorflow
Qwen1.5
Qwen1.5 is the improved version of Qwen, the large language model series developed by Qwen team, Alibaba Cloud.
Lendle-King's Repositories
Lendle-King/Fractional-Deep-Reinforcement-Learning-for-Age-Minimal-Mobile-Edge-Computing
Tensorflow implementation of the algorithm of Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. Please refer to our paper https://ojs.aaai.org/index.php/AAAI/article/view/29192.
Lendle-King/HOG_SVM
使用HOG+SVM进行图像分类
Lendle-King/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
Lendle-King/MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Lendle-King/Stanford-CS-229-CN
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
Lendle-King/tensorflow-image-classification
CNN for multi-class image recognition in tensorflow