louhaofengedu's Stars
houshanren/hangzhou_house_knowledge
2017年买房经历总结出来的买房购房知识分享给大家,希望对大家有所帮助。买房不易,且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
davisking/dlib
A toolkit for making real world machine learning and data analysis applications in C++
PRML/PRMLT
Matlab code of machine learning algorithms in book PRML
cs230-stanford/cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
AweiLoveAndroid/CommonDevKnowledge
:octocat::fire: :star2::star::star::star: :star: 史上最全的BAT大厂Android面试题汇集,以及常用的Android开发的一些技能点,冷门知识点汇总,开发中遇到的坑汇总等干货。
iphysresearch/DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
openai/evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
CMA-ES/pycma
Python implementation of CMA-ES
chrisstroemel/Simple
Experimental Global Optimization Algorithm
eyounx/ZOOpt
A python package of Zeroth-Order Optimization (ZOOpt)
wjhgh04/lte_study
LTE心得总结
csaluja/JupyterNotebooks-Medium
oxfordcontrol/Bayesian-Optimization
Reference implementation of Optimistic Expected Improvement.
HPI-DeepLearning/DIRNet
Implement the DIRNet for image registration (https://arxiv.org/abs/1704.06065)
EFavDB/gaussian_processes
Corresponding post at http://efavdb.com/gaussian-processes/
CMU-CBML/DTHB3D_Reg
This package performs 3D non-rigid image registration for medical and synthetic images using truncated hierarchical B-splines (THB-Splines)
gift-surg/SimpleReg
SimpleReg is a research-focused toolkit that provides tools helpful for (medical) image registration and processing.
bajeluk/surrogate-cmaes
Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algorithm which is interconnected with Gaussian processes (or random forests, that are, however, not maintained here anymore).
luzhijun/Optimization
最优化领域
danFromTelAviv/LKReg
image registration using Lucas Kanade forward additive method
rkwitt/FastPredictiveImageRegistration
Source code for X. Yang et al., "Fast Predictive Image Registration"
HPI-DeepLearning/ssEMnet
autoencoder-image-registration by HPI students
shahinrostami/CMA-HAGA-release
CMA-PAES-HAGA implementation in Python.
j-faria/teepee
An implementation of the Student-t processes
unixpickle/cma-agent
Train RL agents with CMA-ES
RoetGer/CMAES
Implements the Covariance Matrix Adaption Evolution Strategy in Python
jsanant/ImageRegistration
Final Year Project
RosenblockChainers/bayes_vs_cma