haowencs Goto Github PK

955.wlb

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

accepted-papers-lists

Accepted Journal/Conference Paper Lists

ad-papers

Papers on Computational Advertising

ai4dbcode

Codes for building an AI-native database

al-ws

algorithmcpp

This respository is the C++ version of algs4.

anglican

Probabilistic Programming System Anglican

balsa

Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.

bayesian-ntk

Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'

bayesian-optimization

Bayesian Optimization algorithms with various recent improvements

bestconfig

A tool automatically improving the performance of large-scale systems by finding better configuration settings

booknotes

Notes about books I've read

botorch

Bayesian optimization in PyTorch

casmopolitan

[ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces

cmake-demo

《CMake入门实战》源码

cocabo_code

Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

codewars_python_solutions

My CodeWars solutions in Python.

combo

conference-acceptance-rate

Acceptance rates for the major AI conferences

contextdistributions

Code accompanying the Neurips 2019 paper "Stochastic Bandits with Context Distributions"

contextual-gaussian-process-bandit-optimization

Simple implementation of the CGP-UCB algorithm.

contextual-gosafe

contextualbo

Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"

cppmaster

C++ Master Learning Roadmap, especially for AIoT and C++ advanced SWE

daataabaase

deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

deepbsde-pytorch

Reproduce "Solving high-dimensional partial differential equations using deep learning" by pytorch

deepgalerkinmethod

Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, D. Naiff, G. Jardim and Y. Saporito (https://arxiv.org/abs/1811.08782)

deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

deepssm_sysid

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.