shalijiang

neural-process

conditional neural process: tranlation of the tensorflow code to Pytorch

bo

code for BINOCULARS and Multi-Step BO

efficient_nonmyopic_active_search

Code for three papers on active search published at ICML2017, NeurIPS2018, NeurIPS2019

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Parallelized-Neural-Network-Library

test description

botorch

Bayesian optimization in PyTorch

Cornell-MOE

A Python library for the state-of-the-art parallel Bayesian optimization algorithms, with the core implemented in C++.

Crepe

Character-level Convolutional Networks for Text Classification

cse515t

Materials for Bayesian Methods in Machine Learning Course

Hosts

无障碍上网-你~懂得！[更新频率7d，需要请 fork]

learning

assignments of cs224n

machineLearning

self study machine learning

mgp

ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Spearmint

Spearmint Bayesian optimization codebase

tensorflow

An Open Source Machine Learning Framework for Everyone

test