Survey_AI_Drug_Discovery
Drug Discovery Survey
Compiles works on applying artificial intelligence in drug discovery to various areas
314 stars
20 watching
62 forks
last commit: 11 months ago
Linked from 1 awesome list
thinklab-sjtu/awesome-molecular-dockingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 fangpingwan/deepcpi | A deep learning framework for large-scale in silico drug screening | 14 |
 mhlee0903/multi_channels_pinn | Investigating neural networks for drug discovery using multiple chemical descriptors. | 3 |
 xiaochengcike/ai-learn | An comprehensive resource for learning artificial intelligence and machine learning | 1,097 |
 zjulearning/graph_level_drug_discovery | A Python project that uses machine learning to improve the representation of molecules in drug discovery | 60 |
 zhuangbiaowei/open_source_analysis | An analysis of notable software projects | 21 |
| fangpingwan/neodti | A deep learning framework for predicting new drug-target interactions by integrating neighbor information from heterogeneous networks | 75 |
 aitutorials/datasets | A comprehensive collection of datasets from various AI-related sources worldwide. | 46 |
 guanh01/cs692-mlsys | A repository of papers and resources on systems for machine learning and machine learning for systems. | 55 |
 niraj-lunavat/artificial-intelligence | A comprehensive resource for learning and exploring Artificial Intelligence (AI) concepts and applications | 1,667 |
 yingtongdou/graph-adversarial-learning-literature | An exploration of adversarial learning techniques applied to graph data structures | 8 |
 2020meai/tcmllm | Develops a large language model to aid in Chinese medicine diagnosis and prescription recommendations. | 127 |
 huaizhengzhang/ai-system-school | A curated collection of research papers, articles, and resources on machine learning systems, including design principles, infrastructure, and best practices. | 2,710 |
 iamdaiyuan/android_top_1000 | A curated list of popular and widely-used Android libraries | 70 |
 wangrongsheng/ivygpt | Develops large language models to support medical diagnoses and provide helpful suggestions | 59 |
 techytushar/techytushar | Building and deploying Machine Learning models for production use | 56 |