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Name: a non
Type: User
Bio: i choose to be anonymous
Name: a non
Type: User
Bio: i choose to be anonymous
Accompanying source codes for my book 'Mastering Python for Finance'.
R code for Angrist & Pischke Mastering Metrics
Stan Math Library
Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
Linear Algebra Algorithms Implemented in Python
The Mathematics of Deep Learning, SIPB IAP 2018
a general-purpose computer algebra system
A Python implementation of the matrix profile algorithm
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
Config files for vim and tmux.
R in Finance 2016 Seminar: Modern Bayesian Tools for Time Series Analysis
Bootstrap and Monte Carlo Hypothesis Testing with R
ipython notebooks for Nervana's deep learning meetup
Implementation of Meta-RL A3C algorithm
A reinforcement learning environment for self-driving cars in the browser.
Peptide-MHC binding affinity prediction
My Personal Website and Blog
Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.
Miscellany, mostly code supporting blog posts
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A machine learning approach to identify hosts of families of viruses.
Machine Learning Algorithms implemented in Python
Machine Learning examples, mostly in R
Dockerfile for multiple machine learning tools.
Variety of machine learning algorithms written in python
Set of examples of ML approaches implemented in C++
mlpack: a scalable C++ machine learning library --
Yet another machine learning framework
It contains Data Augmentaion, Strided convolution, Batch Normalization, Leaky Relu, Global Average pooling, L2 Regularization, learning rate decay, He initialization, Tensorboard, Save, Restore
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.