liaoyw2016 Goto Github PK

hugo-documentation-theme-test

iisbeamer

A LaTeX beamer theme for the Integrated Systems Laboratory.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

info8006-introduction-to-ai

Lectures for INFO8006 - Introduction to Artificial Intelligence, ULiège

jemdoc_mathjax

jemdoc with MathJax support and more

kalman

Some Python Implementations of the Kalman Filter

latex-beamer-theme-elegance

Beamer theme based on HSRM with some nice configuration options

latex-examples

Examples for the usage of LaTeX

latex-talk

Modern LaTeX in a Nutshell

learning-long-range-perception

Companion website for the article Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry

liaoyw2016.github.io

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lnotes

LaTeX Notes

lytex

Portable LyX, migrated over from code.google.com/p/lytex

mcsm

monte carlo statistical methods matlab codes

mycv

my CV made with compile-latex

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural-networks-and-deep-learning-zh-cn

neuralnetworksanddeeplearning.com.pdf

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

nndl

Another Chinese Translation of Neural Networks and Deep Learning

opencv

Open Source Computer Vision Library

pdfreview

记录PDF修订的常用软件和操作方式，以备后用。

pgfornament-han

A pgfornament library for Chinese traditional motifs and patterns

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

prmlt

Matlab code for machine learning algorithms in book PRML

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pygps

pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.