Pinned Repositories
Arduino_Project
Arduino的各种项目，包括灯泡控制等
Big_Data_Classification_Phone_User_Python
该项目有关大数据的分类问题，是根据用户信息提取不同的特征，然后监督学习用户的分类，总共有5类，正常用户、客服人员、快递员、*扰电话
Equipment_Capacity_Bound_Prediction
使用ARCH模型和FFT快速傅里叶变换方法对器材库存限额的预测确定。
GeoMAN-grain-temperature
The project about the GeoMAN network of grain temperature prediction
Intelligent_Patrol_Toy_Car_Pose_With_Skeleton_Color_Recognition
智能巡逻机器人，可以以一定距离主动跟随人，主动前进后退，可以是别人的骨架和手势，同时根据人体的衣服颜色分辨身份，敌人还是朋友，敌人为红色，朋友为蓝色。
Literature
Machine_Learning_Methods_For_Regression_Matlab
Data has 6 features & 1 output. the target for this is regression by at least 3 machine learning methods. And at least 1 NN method.
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
TASK_ALLOCATION_WITH_Q_LEARNING_AND_KNN
使用knn和Qlearning的方法相结合来处理平台调度任务顺序的问题。
The_Maximum_Clique
使用模拟退化算法解决最大团问题，同时也研究了其他不同种算法
CraKane's Repositories
CraKane/Arduino_Project
Arduino的各种项目，包括灯泡控制等
CraKane/Intelligent_Patrol_Toy_Car_Pose_With_Skeleton_Color_Recognition
智能巡逻机器人，可以以一定距离主动跟随人，主动前进后退，可以是别人的骨架和手势，同时根据人体的衣服颜色分辨身份，敌人还是朋友，敌人为红色，朋友为蓝色。
CraKane/GeoMAN-grain-temperature
The project about the GeoMAN network of grain temperature prediction
CraKane/TASK_ALLOCATION_WITH_Q_LEARNING_AND_KNN
使用knn和Qlearning的方法相结合来处理平台调度任务顺序的问题。
CraKane/Machine_Learning_Methods_For_Regression_Matlab
Data has 6 features & 1 output. the target for this is regression by at least 3 machine learning methods. And at least 1 NN method.
CraKane/Big_Data_Classification_Phone_User_Python
该项目有关大数据的分类问题，是根据用户信息提取不同的特征，然后监督学习用户的分类，总共有5类，正常用户、客服人员、快递员、*扰电话
CraKane/Equipment_Capacity_Bound_Prediction
使用ARCH模型和FFT快速傅里叶变换方法对器材库存限额的预测确定。
CraKane/Coid
CraKane/cord_results
including supplementary results
CraKane/deep-RL-elements
Deep RL algorithm in pytorch
CraKane/Designing_Corrective_Facility_For_Signal_And_System_MATLAB
使用matlab模拟信号与系统中的校正装置
CraKane/DouBanSpider
豆瓣读书的爬虫
CraKane/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
CraKane/FBDQA-2021S
Financial Big Data and Quantitative Analytics, Spring 2021.
CraKane/FinRL
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
CraKane/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
CraKane/hanabi_SAD
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
CraKane/MAPPO-on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
CraKane/meltingpot
CraKane/ML-Papers-Explained
Explanation to key concepts in ML
CraKane/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
CraKane/neural-mmo
Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"
CraKane/PegasusGenerationModel
CraKane/Playing2048byRL
CraKane/PracticalGuidetoRecSys
《互联网大厂推荐算法实战》资料库
CraKane/pymarl
Python Multi-Agent Reinforcement Learning framework
CraKane/RLforAtari
CraKane/smac
SMAC: The StarCraft Multi-Agent Challenge
CraKane/SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
CraKane/TeamMARL
Original codes for Team MARL including role attention... etc. about role ideas.