Pinned Repositories
AdaPool
Adaptive-Resource-Provision-for-Cloud
Online Bin Packing Algorithm Used for Cloud Resource Allocation
AI-Job-Resume
AI 算法岗简历模板
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
BinGo
大数据推荐引擎
drwxyh.github.io
BY Blog ->
latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
reversi_zero
Simulator-1
Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning
drwxyh's Repositories
drwxyh/Adaptive-Resource-Provision-for-Cloud
Online Bin Packing Algorithm Used for Cloud Resource Allocation
drwxyh/BinGo
大数据推荐引擎
drwxyh/Chicago-Taxi
Analyze large Chicago taxi data using python parallel processing modules, RNN, LSTM, and ARIMA time series analysis
drwxyh/CodeDaily
Daily algorithm exercises
drwxyh/Combining-TimeSeries-TextData
A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas
drwxyh/crime-prediction
CS281 Final Project to develop a new ML Model for predicting incidents of crime.
drwxyh/data
Data and code behind the articles and graphics at FiveThirtyEight
drwxyh/deep-learning-papers-translation
深度学习论文翻译，包括分类论文，检测论文等
drwxyh/DeepReinforcementLearning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
drwxyh/DQN_MVC
Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
drwxyh/graph-cnn.pytorch
Pytorch Implementation for Graph Convolutional Neural Networks
drwxyh/GraphTheoryExercises
drwxyh/LaTeX-Template-Cn
\LaTeX 中文模版收集。
drwxyh/lihang-code
《统计学习方法》的代码实现
drwxyh/make-taz
implementation segmentation of urban areas using road network 自动生成自然街区（交通小区）
drwxyh/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
drwxyh/neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
drwxyh/new-pac
drwxyh/notes-linear-algebra
线性代数笔记
drwxyh/pad
RL environment
drwxyh/Predicting-Temperature-with-LSTM-Network
Predict mean global temperature anomalies from 1880-2017 with an LSTM network using Keras.
drwxyh/pysc2-rl-nn
An attempt to recreate results obtained by O. Vinyals et al (2017) in StarCraft II: A New Challenge for Reinforcement Learning
drwxyh/recurrent-relational-networks
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
drwxyh/Relational-Recurrent-Neural-Networks
Tensorflow implementation of Relational Recurrent Neural Networks
drwxyh/sc2aibot
Implementing reinforcement-learning algorithms for pysc2 -environment
drwxyh/SEU-Beamer-Slide
东南大学幻灯片模板（豪华版）:clipboard:
drwxyh/Simulator
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
drwxyh/Taxi-Demand-Prediction-New-York-City
A Machine Learning Case Study to predict the Demand of Yellow Taxi in New York City at given location and at a given time interval.
drwxyh/ticketEd
Forecasting parking violations in NYC
drwxyh/Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN