Pinned Repositories
Artificial-Intelligence
Include ML DL RL, knowledge and code
arxivtools
Various tools for parsing daily updates to the ArXiv preprint server
asynchronous-BO
Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"
autodiff
automatic differentiation made easier for C++
autograd
Efficiently computes derivatives of numpy code.
BAREFOOT-Framework
Batch Bayesian Optimization within the Model Reification and Fusion Framework
books
"我的阅历"
Books-2
Books1
some books about code
Reinforcement-Learning-From-Scratch
Reinforcement learning demo with slides in David Silver RL lectures
biaohe's Repositories
biaohe/Artificial-Intelligence
Include ML DL RL, knowledge and code
biaohe/autodiff
automatic differentiation made easier for C++
biaohe/autograd
Efficiently computes derivatives of numpy code.
biaohe/BAREFOOT-Framework
Batch Bayesian Optimization within the Model Reification and Fusion Framework
biaohe/books
"我的阅历"
biaohe/botorch
Bayesian optimization in PyTorch
biaohe/ContinuousParetoMTL
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
biaohe/Design-of-optimal-CMOS-ring-oscillator-using-an-intelligent-optimization-tool
This paper presents an intelligent sizing method to improve the performance and efficiency of a CMOS Ring Oscillator (RO). The proposed approach is based on the simultaneous utilization of powerful and new multi-objective optimization techniques along with a circuit simulator under a data link. The proposed optimizing tool creates a perfect tradeoff between the contradictory objective functions in CMOS RO optimal design. This tool is applied for intelligent estimation of the circuit parameters (channel width of transistors), which have a decisive influence on RO specifications. Along the optimal RO design in an specified range of oscillaton frequency, the Power Consumption, Phase Noise, Figure of Merit (FoM), Integration Index, Design Cycle Time are considered as objective functions. Also, in generation of Pareto front some important issues, i.e. Overall Nondominated Vector Generation (ONVG), and Spacing (S) are considered for more effectiveness of the obtained feasible solutions in application. Four optimization algorithms called Multi-Objective Genetic Algorithm (MOGA), Multi-Objective Inclined Planes system Optimization (MOIPO), Multi-Objective Particle Swarm Optimization (MOPSO) and Multi-Objective Modified Inclined Planes System Optimization (MOMIPO) are utilized for 0.18-mm CMOS technology with supply voltage of 1-V. Baesd on our extensive simulations and experimental results MOMIPO outperforms the best performance among other multi-objective algorithms in presented RO designing tool.
biaohe/DNN-MFBO
Multi-fidelity Bayesian Optimization via Deep Neural Nets
biaohe/emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
biaohe/eshotgun
ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation
biaohe/Expected-Uncertainty-Reduction-for-Kriging-based-Reliability-Analysis
In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR), that serves as a meta-criterion to select the best sample from a set of optimal samples, each identified from a large number of candidate samples according to the criterion of an acquisition function.
biaohe/expert_readed_books
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍
biaohe/H2Lib
H2Lib public repository
biaohe/HODLR
A fast, accurate direct solver and determinant computation for dense linear systems
biaohe/JGAN
JGAN model zoo supports 27 kinds of mainstream GAN models with high speed for jittor.
biaohe/ksim
biaohe/MediumArticles
A repository for all the code that is mentioned in my Medium articles
biaohe/mf2
Collection of Multi-Fidelity benchmark functions
biaohe/myGPyopt
Implementing Probability of Feasibility (PF) handling of black-box c_i(x)<=0. Based on GPyopt
biaohe/myopt
a lib for optimization
biaohe/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
biaohe/open-box
Generalized and Efficient Blackbox Optimization System.
biaohe/optimizationbook
biaohe/Reinforcement-Learning-Algorithms-with-Python
Reinforcement Learning Algorithms with Python, Published by Packt
biaohe/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
biaohe/Scalable-GPRN
Scalable Gaussian Process Regression Networks
biaohe/scikit-learn
scikit-learn: machine learning in Python
biaohe/THU-Mathematics-Books
清华数学系部分课程教材及参考资料，自用，侵删
biaohe/vOptSolver
Solver of multiobjective linear optimization problems: description and documents