Pinned Repositories
AlJabr-1
Methods in Algebra (Volume 1): A Chinese textbook on Algebra
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)
averager
Data averaging tool. Computes running averages over discrete non-continuous data.
Ax
Adaptive Experimentation Platform
bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
bayesian-optimization
Python code for bayesian optimization using Gaussian processes
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Cornell-MOE
A Python library for the state-of-the-art parallel Bayesian optimization algorithms, with the core implemented in C++.
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
deeplearning-models
A collection of various deep learning architectures, models, and tips
GloriaTab's Repositories
GloriaTab/AlJabr-1
Methods in Algebra (Volume 1): A Chinese textbook on Algebra
GloriaTab/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)
GloriaTab/Ax
Adaptive Experimentation Platform
GloriaTab/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
GloriaTab/bayesian-optimization
Python code for bayesian optimization using Gaussian processes
GloriaTab/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
GloriaTab/Cornell-MOE
A Python library for the state-of-the-art parallel Bayesian optimization algorithms, with the core implemented in C++.
GloriaTab/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
GloriaTab/deeplearning-models
A collection of various deep learning architectures, models, and tips
GloriaTab/ff-bn-w
Force field parameters between hexagonal boron nitride and water and code for LAMMPS
GloriaTab/gen_droplet
Scripts to generate and run water droplet on substrate LAMMPS simulations
GloriaTab/lammps-gg
An implementation of the Mahadevan-Garofalini dissociative water potential compatible with LAMMPS
GloriaTab/lammps-water
input scripts for water-vitrifying simulation in LAMMPS
GloriaTab/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
GloriaTab/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
GloriaTab/mcts
An implementation of Monte Carlo Tree Search in python
GloriaTab/MCTS-1
Python Implementations of Monte Carlo Tree Search
GloriaTab/mk
Backup configuration file
GloriaTab/ML_for_kirigami_design
Python package to model and to perform topology optimization for graphene kirigami using deep learning
GloriaTab/neural-network-papers
GloriaTab/nsga3
An implementation of NSGA-III algorithm in C++
GloriaTab/parallel-nsgaII-backend
The backend engine of a parallelised NSGAII making use of MPI (written in C++)
GloriaTab/pyGPGO
Bayesian optimization for Python
GloriaTab/python
Python学习第三方库案例总结
GloriaTab/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
GloriaTab/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.
GloriaTab/running-average
Compute running average from standard input stream
GloriaTab/Session7_Assignment1
Split and Sum functions of numpy for running average
GloriaTab/TiO2_Adsorption
Adsorption Energy calculation for Water/TiO2 systems run using LAMMPS
GloriaTab/water-box-1392-spce-lammps