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advanced_training

AI DRUG DISCOVERY - ADVANCE TRAINING

bmi219-2017-proteinfolding

UCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)

cgan

李宏毅GAN课程cGAN动漫人物生产实现代码(含图片)

chemgan-challenge

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

chinese-pyrosetta

constrained-graph-variational-autoencoder

Sample code for Constrained Graph Variational Autoencoders

core-algorithm

《算法导论》(第3版) 算法集锦

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

covid-19-drug-designing-using-deep-learning

This Repo contains our methodology and solution to predict / Synthesise potential Antidotes/Cure using AI solutions for the current pandemic

deep-drug-coder

A tensorflow.keras generative neural network for de novo drug design, published in Nature Machine Intelligence while working at AstraZeneca.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning.ai

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

drug_learning

Open package with DL and ML tools for drug discovery. It is based in a 3 branch package: 2D-QSAR, 3D-QSAR, simulation+AI

drugai

Generation and Classification of Drug Like molecule usings Neural Networks

drugex

An exploration strategy improves the diversity of de novo drug design using deep reinforcement learning

gan-learning

李宏毅老师GAN的课程作业

gan_learn

李宏毅GAN课程作业

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gln

Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network

gnn_review

GNN综述阅读报告

graph-neural-networks-for-drug-discovery

graphdta

GraphDTA: Predicting drug-target binding affinity with graph neural networks

handson-ml

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

handson-ml2

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.

hello-world-

just a repository

leedeeprl-notes

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

lhy_dl_hw

lhyganmlds18

学习李宏毅老师MLDS18中的GAN部分

lihongyi_ml20

李宏毅2020机器学习作业

machine_learing_study