Chiyuan Zhang

Mocha.jl. Deep Learning framework for Julia

pymmseg-cpp. rmmseg-cpp with Python interface

fitting-random-labels. Example code for the paper "Understanding deep learning requires rethinking generalization"

rmmseg-cpp. an re-implementation of rmmseg (Chinese word segmentation library for Ruby) in C++

MLOpt.jl. Tutorial code for Machine Learning and Optimization written in julia

cs_thesis_zju. XeTeX template for ZJU Computer Science undergraduate thesis

keyboards. Keyboard related stuffs

structural-regularity. Python

DistLearn.jl. Example of distributed learning in Julia

skime. A Scheme implementation in Python

irobot2. A simple game in which you write AI script to combat.

optimization-intuition. Notes of my intuitions about optimization

pyppm. PPM (Predict by Partial Matching) compression algorithm implementation for Python

shogun. The Shogun Machine Learning Toolbox (Source Code)

SimpleStructs.jl. Easy to use struct definition with defaults and value constraints, as well as auto-defined user-friendly constructors

texml. TeX Markup Language

getcites. Get Citations of Your Publications

kidy. kidy is my toy programming language

flanck-zmk-config. ZMK firmware for Flanck Keyboard

sdcv-mode. Automatically exported from code.google.com/p/sdcv-mode

influence-memorization.

shogun-tutorial. Shogun Tutorial

hrm-key-stats. HTML

mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

freemind-comments.

caffe. Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

readthedocs.org. source code to readthedocs.org