momake (GloriaTab)

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AlJabr-1

Methods in Algebra (Volume 1): A Chinese textbook on Algebra

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AlphaGOZero-python-tensorflow

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

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Ax

Adaptive Experimentation Platform

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bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

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bayesian-optimization

Python code for bayesian optimization using Gaussian processes

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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Cornell-MOE

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

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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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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ff-bn-w

Force field parameters between hexagonal boron nitride and water and code for LAMMPS

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gen_droplet

Scripts to generate and run water droplet on substrate LAMMPS simulations

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lammps-gg

An implementation of the Mahadevan-Garofalini dissociative water potential compatible with LAMMPS

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lammps-water

input scripts for water-vitrifying simulation in LAMMPS

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leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

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Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

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mcts

An implementation of Monte Carlo Tree Search in python

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MCTS-1

Python Implementations of Monte Carlo Tree Search

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mk

Backup configuration file

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ML_for_kirigami_design

Python package to model and to perform topology optimization for graphene kirigami using deep learning

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nsga3

An implementation of NSGA-III algorithm in C++

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parallel-nsgaII-backend

The backend engine of a parallelised NSGAII making use of MPI (written in C++)

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pyGPGO

Bayesian optimization for Python

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python

Python学习第三方库案例总结

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pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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RocAlphaGo

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

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running-average

Compute running average from standard input stream

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Session7_Assignment1

Split and Sum functions of numpy for running average

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TiO2_Adsorption

Adsorption Energy calculation for Water/TiO2 systems run using LAMMPS

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