jokerwu-create Goto Github PK

2022-machine-learning-specialization

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

cgcnn

Crystal graph convolutional neural networks for predicting material properties.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

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

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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningexamples

深度学习中的一些小Demo。

im2ode---

Inverse Design of Materials by Multi-objective Differential Evolution

kpgt

codes for KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction

materials_discovery

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

mofseek

MOFseek

molsimplify

molSimplify code

pyscf

Python module for quantum chemistry

tensorcircuit

Tensor network based quantum circuit simulator for the NISQ era