BLue1881euLB's repositories
lihang-code
《统计学习方法》的代码实现
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
crnn_chinese_characters_rec
chinese characters recognition
Customer_Satisfaction_Analysis
2018年1月参与重庆市在线民宿满意度测评项目，负责数据采集、主题抽取、情感分析等任务。开发的目的是克服用户打分和评论不一致，实时对重庆地区在线民宿的满意度进行评测，使用Python实现了在线评论采集和情感可视化分析。搭建了百度地图POI查询入口，可以进行自动化的批量查询POI信息的功能；构建了基于在线民宿语料的Word2vec主题聚类模型，利用主题中心词能找出对应的主题属性字典；以用户打分作为标注，然后通过实验贝叶斯、SVM、决策树等多种分类模型，最后选用贝叶斯模型进行情感分析，将情感分类概率分布作为情感趋势，最后通过POI热力图的方式对不同地域的民宿满意度进行展示。
Data-Analysis
Data Science Using Python
datascience
Curated list of Python resources for data science.
game-of-thrones
Game of Thrones Datasets and Visualizations
icme2019-bytedance-grand-challenge
字节跳动短视频内容理解和推荐 Track2 Top8
mosesdecoder
Moses, the machine translation system
named_entity_recognition
中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）
Ok-Topk
Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k communication volume which is asymptotically optimal) with the decentralized parallel Stochastic Gradient Descent (SGD) optimizer, and its convergence is proved theoretically and empirically.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pwc
Papers with code. Sorted by stars. Updated weekly.
python-weka-wrapper3-examples
Example code for the python-weka-wrapper3 project.
Research-Line
A paper list of my research line, welcome to discuss with me.
ruijin_round2
瑞金医院MMC人工智能辅助构建知识图谱大赛复赛
Tencent2019_Preliminary_Rank1st
The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.
video-dataset-preprocess
code about preprocessing and dataloaders for video dataset including UCF101 and HMDB based on PyTorch
zmPDSwR
Example R scripts and data for "Practical Data Science with R" 1st edition by Nina Zumel and John Mount (Manning Publications)