A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

Practical Cheminformatics Tutorials

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

Example code from the book "Deep Learning for the Life Sciences"

Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。

Tutorials for deep learning course here:

Wrapper for RDKit's RunReactants to improve stereochemistry handling

Novel molecules from a reference shape!

Tools and scripts I wrote and regularly use

Practical Cheminformatics Blog Posts

Materials for my presentation on molecular standardization as part of the RSC OpenScience workshop series

Implementation of regular and multiscale parametric t-SNE in pytorch

Materials from the Intro to the RDKit tutorial at AIDD 2021