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banditlib

Multi-armed bandit simulation library

bandits

Python library for Multi-Armed Bandits

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayeso-benchmarks

Benchmarks for Bayesian optimization.

covid19model

Code for modelling estimated deaths and cases for COVID19.

data-analysis-of-innovation-and-entrepreneurship-vitality

通过对江苏省集成电路企业多元数据的收集与清洗（工商信息、融资信息、宏观经济数据、 A 股同类企业数据、爬取的政策信息） ， 通过数据分析进行多种可视化组合展示、 特征提取， 从时 间和地区维度分别测算“活力指数"反应创新创业状态，并利用归因模型分别从时间维度和个体维 度进行影响因子分析，结合分析结果和以往政策提供政策建议

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[email protected] 版权所有，违权必究 Tan 2018.06

deepmcp

Deep Matching, Correlation and Prediction (DeepMCP) Model

deepnet

Implementation of some deep learning algorithms.

deepsurv.pytorch

hbmoo

Hybrid Bayesian Multi-Objective Optimisation

machine_learning

Machine Learning

mirador

An open-source, web-based 'multi-up' viewer that supports zoom-pan-rotate functionality, ability to display/compare simple images, and images with annotations.

ml-python

mobo

constrained/unconstrained multi-objective bayesian optimization package.

multi-objective-bayesian-optimization-method-in-the-allocation-of-asset-portfolio

dissertation

natural-language-processing

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

platypus

A Free and Open Source Python Library for Multiobjective Optimization

prada_bo

Multi-objective Bayesian optimisation framework.

pybo

Python package for modular Bayesian optimization

pydes

Multi-objective Stochastic Bayesian Optimization with Quantified Uncertainties on the Pareto Frontier

pyecharts

🎨 Python Echarts Plotting Library

pymace

Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

spearmint-1

Spearmint Bayesian optimization codebase

tencent2019_finals_rank1st

2019腾讯广告算法大赛完整代码（冠军）

uq-course

Introduction to Uncertainty Quantification

ustc-cs-courses-resource

:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

zhaohang-fintech

bisai

zhaohang_fintech

招商银行第二届fintech-财经新闻分析baseline(线上第1名)