Pinned Repositories
BayesLogit
Fast, exact Bayesian inference for logistic likelihoods.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Deep-Portfolio-Management
Source code for the blog post on the evolution of the asset allocation methods
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DeepLearningBook
MIT Deep Learning Book in PDF format
equalitySP500
Reference code to Portfolio Selection: The Power of Equal Weight
extremeNN
a R implementation of extreme learning machine
gerber
Gerber robust statistics for portfolio optimization
gpu_smc
A GPU implementation of the particle filter with Metropolis Hastings
Quantlib
Quantlib学习研究
yinsenm's Repositories
yinsenm/gerber
Gerber robust statistics for portfolio optimization
yinsenm/Deep-Portfolio-Management
Source code for the blog post on the evolution of the asset allocation methods
yinsenm/gpu_smc
A GPU implementation of the particle filter with Metropolis Hastings
yinsenm/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
yinsenm/acounty_housing
House Value Index for A county and MVO Portfolio Optimization
yinsenm/bdl-benchmarks
Bayesian Deep Learning Benchmarks
yinsenm/cheatsheets
RStudio Cheat Sheets
yinsenm/cnes
yinsenm/COMP576
COMP 576
yinsenm/COVID19
COVID19 Reference Citation Map
yinsenm/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
yinsenm/Deep-Kalman-Filter
yinsenm/deepnet
Implementations of CNNs, RNNs and cool new techniques in deep learning from scratch
yinsenm/dtw
DTW (Dynamic Time Warping) python module
yinsenm/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
yinsenm/job_shceduler
Cron Job System
yinsenm/KDD_CUP_2018
KDD CUP 2018
yinsenm/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
yinsenm/MCKL
Monte Carlo Kernel Library
yinsenm/MDP-DP-RL
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
yinsenm/ml_datasets
machine learning datasets
yinsenm/open_kdd_eval
kdd2018 evaluation code
yinsenm/projpred
Projection predictive variable selection
yinsenm/rQESN
an implementation of quadratic echo state network using Eigen
yinsenm/SBTimeSeries
yinsenm/snbvbs
Code for Scalable Bayesian Variable Selection for Negative Binomial Regression Models. See Miao et al. (2019), in Flexible Bayesian Regression Modelling, Yanan F. et al (Eds), Elsevier, to appear.
yinsenm/Tensorflow-Cookbook
Simple Tensorflow Cookbook for easy-to-use
yinsenm/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
yinsenm/test_gs
yinsenm/thromboSeq_source_code