yinsenm

gerber

Gerber robust statistics for portfolio optimization

Deep-Portfolio-Management

Source code for the blog post on the evolution of the asset allocation methods

gpu_smc

A GPU implementation of the particle filter with Metropolis Hastings

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

acounty_housing

House Value Index for A county and MVO Portfolio Optimization

bdl-benchmarks

Bayesian Deep Learning Benchmarks

cheatsheets

RStudio Cheat Sheets

COMP576

COMP 576

COVID19

COVID19 Reference Citation Map

CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Deep-Kalman-Filter

deepnet

Implementations of CNNs, RNNs and cool new techniques in deep learning from scratch

dtw

DTW (Dynamic Time Warping) python module

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'.

iq

implementation of IQ robust covariance estimator

job_shceduler

Cron Job System

KDD_CUP_2018

KDD CUP 2018

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

MCKL

Monte Carlo Kernel Library

MDP-DP-RL

Markov Decision Processes, Dynamic Programming and Reinforcement Learning

ml_datasets

machine learning datasets

open_kdd_eval

kdd2018 evaluation code

projpred

Projection predictive variable selection

rQESN

an implementation of quadratic echo state network using Eigen

SBTimeSeries

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.

Tensorflow-Cookbook

Simple Tensorflow Cookbook for easy-to-use

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

test_gs

thromboSeq_source_code