Pinned Repositories
auto-sklearn
Automated Machine Learning with scikit-learn
nevergrad
A Python toolbox for performing gradient-free optimization
pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMA-ES
2021-RW-MOP
Adaptive-Batch-ParEGO
This repository contains Matlab implementation of the algorithm framework for adaptive batch-ParEGO
afro
File recovery for APFS
Azure-Function-App-VSCode
Azure function app simple examples in Python and Java with VSCode.
bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
Block-MOBO
This repository contains Matlab implementation of the algorithm framework for Block-MOBO.
cs231n.github.io
Public facing notes page
happywhy's Repositories
happywhy/auto-sklearn
Automated Machine Learning with scikit-learn
happywhy/nevergrad
A Python toolbox for performing gradient-free optimization
happywhy/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMA-ES
happywhy/2021-RW-MOP
happywhy/Adaptive-Batch-ParEGO
This repository contains Matlab implementation of the algorithm framework for adaptive batch-ParEGO
happywhy/afro
File recovery for APFS
happywhy/Azure-Function-App-VSCode
Azure function app simple examples in Python and Java with VSCode.
happywhy/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
happywhy/Block-MOBO
This repository contains Matlab implementation of the algorithm framework for Block-MOBO.
happywhy/cs231n.github.io
Public facing notes page
happywhy/dataset-api
The ApolloScape Open Dataset for Autonomous Driving and its Application.
happywhy/deap
Distributed Evolutionary Algorithms in Python
happywhy/dragonfly
An open source python library for scalable Bayesian optimisation.
happywhy/HElib
An Implementation of homomorphic encryption
happywhy/jMetal
jMetal: a framework for multi-objective optimization with metaheuristics
happywhy/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
happywhy/machinelearning-1
My blogs and code for machine learning. http://cnblogs.com/pinard
happywhy/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
happywhy/ML-Related-Books
happywhy/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
happywhy/modact
Constrained MOO test functions: Multi-Objective Design of Actuators
happywhy/multi-obj-baselines
happywhy/nasbench
NASBench: A Neural Architecture Search Dataset and Benchmark
happywhy/neural_lns
happywhy/PlatEMO
Evolutionary multi-objective optimization platform
happywhy/PRMLT
Matlab code for machine learning algorithms in book PRML
happywhy/Spearmint
Spearmint Bayesian optimization codebase
happywhy/tfhe
TFHE: Fast Fully Homomorphic Encryption Library over the Torus
happywhy/TS-EMO
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).