ImHShen's Stars
prtkm/ising-monte-carlo
Statistical Mechanics 2D Ising Model Simulations
Sohl-Dickstein/Minimum-Probability-Flow-Learning
Matlab code implementing Minimum Probability Flow Learning.
conwnet/github1s
One second to read GitHub code with VS Code.
lonetheta/machine-learning
深度学习pdf
ImHShen/DeepLearning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
ImHShen/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
QPIpattern/phase-of-matter-by-machine-learning
Unsupervised machine learning of phase of matter in physics
UnofficialJuliaMirrorSnapshots/GraphicalModelLearning.jl-73787735-dbe8-5e05-9488-dc58b1b075d0
Last snapshots taken from https://github.com/UnofficialJuliaMirror/GraphicalModelLearning.jl-73787735-dbe8-5e05-9488-dc58b1b075d0 on 2019-11-20T07:38:07.664-05:00 by @UnofficialJuliaMirrorBot via Travis job 153.15 , triggered by Travis cron job on branch "master"
bdhammel/ising-model
Python implementation of the Ising model
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
ImHShen/machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
halo/macosvpn
:wrench: Create macOS VPNs programmatically (L2TP & Cisco)
hitranonline/hapiest
A GUI frontend which allows manipulation and processing of data from the HITRAN database.
ryanhanwu/How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。
nipy/pbrain
Python EEG and ECoG analysis software by John Hunter et al
SciSharp/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
hitranonline/hapi
HITRAN Application Programming Interface (HAPI)
MorvanZhou/Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
program-spiritual/geek-thick
日常问题记录的方式为 `github Issues` (根据标签分类 `Issues `,方便查找和交流问题)