Bruno Wu's repositories
zipline
Zipline, a Pythonic Algorithmic Trading Library
Regression-parameter-estimates
R code for parameter estimates in regression models with manual implementation of least squares, gradient descent and monte carlo methods.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter textbook using Ipython Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
nba_shot_chart
NBA Shot Charts Experiment
keras
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
spark
Mirror of Apache Spark
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
python_reference
Useful functions, tutorials, and other Python-related things
YTCrawl
YouTube ; video ; history viewcount ; download ; downloader ; view count ; popularity ; crawl ; crawler ;
datascience-anthology-pydata
PyData, The Complete Works of
dart_git
Experimenting with dart
Conjecture
Scalable Machine Learning in Scalding
jem-docker
Docker container capable of running an iPython notebook server, for "Just Enough Math"
krippendorff
Krippendorff's Alpha for Labeling
textract
extract text from any document. no muss. no fuss.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
python-goose
Html Content / Article Extractor, web scrapping lib in Python
awesome-python
A curated list of awesome Python frameworks, libraries and software. Inspired by awesome-php.
notebooks
Some sample IPython notebooks for scikit-learn
kaggle-stumble
Kaggle-Stumble
safetyword
Higgs Boson kaggle
statlearning-notebooks
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
code-problems
Common code and interview problems solved in multiple languages
convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
twittermining
Twitter Text Mining Example with Word Cloud