wangyitian123 Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

captchaidentifier

Image Captcha Solving Using TensorFlow and CNN Model，with self-labeling image Dataset crawled from a website，free to download my Dataset for self-learning. accuracy 95%+

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

chemprop

Message Passing Neural Networks for Molecule Property Prediction

code_snippets

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crt76-logd

currmg

An efficient curriculum learning-based strategy for molecular graph learning

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

deep-molecular-optimization

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

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

dgl-lifesci

Python package for graph neural networks in chemistry and biology

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

fragat

FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction

gcn_study

GCN 入门学习教程

gln

Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network

graph_networks

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

ligdream

Novel molecules from a reference shape!

lipophilicity-prediction

Code for "Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation" paper. Machine Learning for Molecules Workshop @ NeurIPS 2020

logd74

A high-quality hand-curated logD7.4 dataset of 1,130 compounds

moleculargnn_smiles

The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

play-with-machine-learning-algorithms

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

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

pytorchgeometrictutorial

Pytorch Geometric Tutorials

rdkit_summary

rdkit总结与实践

rfs

rtlogd

sampl7

Challenge details, inputs, and results for the SAMPL7 series of challenges