Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
ABAGAIL
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
algorithm-tdd
Implement classical algorithms and data structures under test-driven development.
applied-reinforcement-learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
AQFED.jl
Julia package for the book "Applied Quantitative Finance for Equity Derivatives"
quant-notes-pub
Public version of my quant notes - absolute free knowledge from the internet and my own views. This reflect none of my employer(s)' views
tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
utils
just utility scripts and program
nguyentu1602's Repositories
nguyentu1602/bayes
Personal notes on Bayesian Machine Learning
nguyentu1602/burlap_examples
Tutorial and example code for BURLAP (http://burlap.cs.brown.edu)
nguyentu1602/cuda
My attempt at cuda hacking and examples
nguyentu1602/emacs-c-ide-demo
Emacs setup for C/C++ with Helm describe here: http://tuhdo.github.io/c-ide.html
nguyentu1602/examples
Examples of very basic tasks that I often do (and forget) in various languages
nguyentu1602/googletest
Google C++ Testing Framework
nguyentu1602/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
nguyentu1602/nguyentu1602.github.com
My blog
nguyentu1602/numpy
Numpy main repository
nguyentu1602/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
nguyentu1602/poco
POCO C++ Libraries - Cross-platform C++ libraries with a network/internet focus.
nguyentu1602/pymdptoolbox
Markov Decision Process (MDP) Toolbox for Python
nguyentu1602/python-patterns
A collection of design patterns/idioms in Python
nguyentu1602/R
This folder contains my experimental R codes
nguyentu1602/rcnn
R-CNN: Regions with Convolutional Neural Network Features
nguyentu1602/rugarch
Univariate GARCH models
nguyentu1602/seamless-gtest
Example of how to seamlessly incorporate Google C++ Gtest framework to your day-to-day TDD
nguyentu1602/statsmodels
Statsmodels: statistical modeling and econometrics in Python
nguyentu1602/ThinkBayes
Code repository for Think Bayes.
nguyentu1602/ThinkDSP
LaTeX source and Python code for "Think DSP: Digital Signal Processing in Python", by Allen B. Downey.