Pinned Repositories
Bayes-Optimization
A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.
bayesian-optimization
Python code for bayesian optimization using Gaussian processes
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
chatbot
具有情景及舆情的聊天机器人
dpdk_learn
SimpleGAN
看视频做的简单的生成对抗神经网络案例
sk-Recommendation
积累推荐系统论文
Sk_LeetCode_Test
LeetCode Test
Sk_RB_Tree
sk邵楷的红黑树
skProtocolStack
sk20131344052's Repositories
sk20131344052/SimpleGAN
看视频做的简单的生成对抗神经网络案例
sk20131344052/dpdk_learn
sk20131344052/sk-Recommendation
积累推荐系统论文
sk20131344052/Sk_LeetCode_Test
LeetCode Test
sk20131344052/Sk_RB_Tree
sk邵楷的红黑树
sk20131344052/skProtocolStack
sk20131344052/Bayes-Optimization
A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.
sk20131344052/bayesian-optimization
Python code for bayesian optimization using Gaussian processes
sk20131344052/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
sk20131344052/chatbot
具有情景及舆情的聊天机器人
sk20131344052/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
sk20131344052/CS-Notes
:books: 技术面试必备基础知识
sk20131344052/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
sk20131344052/FR-TSVM
FR-TSVM
sk20131344052/JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
sk20131344052/Lihang
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
sk20131344052/Multi-task_Survival_Analysis
Multi-task survival analysis via regularized Cox regression
sk20131344052/PRML
PRML algorithms implemented in Python
sk20131344052/reinforcement_learning_basic_book
这是一个学习强化学习基础原理学的仓库，里面有对于深入浅出强化学习原理入门一些例子和课后作业的代码
sk20131344052/Self-Driving-Car-AI
A simple self-driving car AI python script using the deep Q-learning algorithm