Pinned Repositories
Kobe-Bryant-Shot-Selection
Explore and Perform categorical data analysis on Kaggle competition "Kobe Bryant Shot Selection".
ASA-Datafest
ASA Datafest carried out at Duke, April 1-3. Hornorable Mention: Best use of outside data
Multi-armed-bandit
LDA-and-CTM
Latent Dirichlet Allocation and extensions on JSM data
Data-Structure-Python
Basic data structure implementation in class
MLScratch
Machine Learning algorithms from scratch
Indian-Buffet-Process
ce062
ce062 - Introduction to Machine Learning
coursera-sna
Lecture Materials & Video (march 2013)
ctm-c
This implements variational inference for the correlated topic model.
timoryxl's Repositories
timoryxl/tools
timoryxl/FolderCleaner
Clean up your messy folders automatically
timoryxl/MLScratch
Machine Learning algorithms from scratch
timoryxl/Data-Structure-Python
Basic data structure implementation in class
timoryxl/TextInfoExp
自然语言处理实验（sougou数据集），TF-IDF，文本分类、聚类、词向量、情感识别、关系抽取等
timoryxl/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
timoryxl/RNN
timoryxl/Motion
timoryxl/strata-conference-ca-2018
environment setup for strata conference 2018
timoryxl/LDA-and-CTM
Latent Dirichlet Allocation and extensions on JSM data
timoryxl/Sta663-Duke
Python class
timoryxl/Kobe-Bryant-Shot-Selection
Explore and Perform categorical data analysis on Kaggle competition "Kobe Bryant Shot Selection".
timoryxl/pymc3
Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
timoryxl/ce062
ce062 - Introduction to Machine Learning
timoryxl/Multi-armed-bandit
timoryxl/Indian-Buffet-Process
timoryxl/Sta523-Duke
Programming for Statistical Science(STA523) at Duke
timoryxl/Sta521-Duke
Modern Regression and Predictive Modeling(STA521) at Duke
timoryxl/ASA-Datafest
ASA Datafest carried out at Duke, April 1-3. Hornorable Mention: Best use of outside data
timoryxl/ctm-c
This implements variational inference for the correlated topic model.
timoryxl/coursera-sna
Lecture Materials & Video (march 2013)