Pinned Repositories
2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
acado
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-math
A curated list of awesome mathematics resources
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
CPP-Programming-for-Financial-Engineering
QuantNet course on C++ programming (completed with Certificate with Distinction)
DAT158ML
DAT158-ML code
datacamp-light
Convert any blog or website to an interactive learning platform for data science
dataflowr
code for deep learning courses
Education
xyXiangYu's Repositories
xyXiangYu/2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
xyXiangYu/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
xyXiangYu/awesome-math
A curated list of awesome mathematics resources
xyXiangYu/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
xyXiangYu/CPP-Programming-for-Financial-Engineering
QuantNet course on C++ programming (completed with Certificate with Distinction)
xyXiangYu/DAT158ML
DAT158-ML code
xyXiangYu/datacamp-light
Convert any blog or website to an interactive learning platform for data science
xyXiangYu/dataflowr
code for deep learning courses
xyXiangYu/Education
xyXiangYu/Financial-Engineering-BaruchMFE-cpp
My solutions for the “C++ Programming for Financial Engineering” Online Certificate. It is a joint project by the Baruch MFE program, Dr. Daniel Duffy and QuantNet.
xyXiangYu/foml
Foundations of Machine Learning
xyXiangYu/go-go-ghpages
an intro workshop about github pages and jekyll
xyXiangYu/homepage
xyXiangYu/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
xyXiangYu/mlcourse.ai
Open Machine Learning Course
xyXiangYu/MVA_2019_SL
xyXiangYu/numerical-methods-pdes
Jupyter notebook class notes for Numerical Methods for PDEs
xyXiangYu/numerical-mooc
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
xyXiangYu/OCE-2014
"web page" for Moritz Diehl's optimal control class (2014)
xyXiangYu/project
xyXiangYu/PythonTrainingExercises
Code to exercise your Python knowledge.
xyXiangYu/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.17
xyXiangYu/SJTU-Courses
上海交通大学课程资料分享
xyXiangYu/slate
Slate is a Jekyll theme for GitHub Pages
xyXiangYu/spark
Mirror of Apache Spark
xyXiangYu/stanford-cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
xyXiangYu/stat479-machine-learning-fs18
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
xyXiangYu/SUNDIALS2Matlab
practical numerical optimization Heidelberg ( Matlab integration of SUNDIALS )
xyXiangYu/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
xyXiangYu/zhangyilun.github.io
Personal website