LIYUESEN's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
itcharge/LeetCode-Py
⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。
mingyuan-zhang/MotionDiffuse
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
mingyuan-zhang/ReMoDiffuse
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
HICAI-ZJU/Scientific-LLM-Survey
Scientific Large Language Models: A Survey on Biological & Chemical Domains
LIYUESEN/druggpt
DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins
Saoge123/PocketFlow
an autoregressive flow model incorporated with chemical acknowledge for generating drug-like molecules inside protein pockets
beikwx/SailVina
SailVina重构增强版
gnina/models
Trained caffe models
lifanchen-simm/transformerCPI2.0
Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that do not yet have high-quality 3D structures available.
IBM/otter-knowledge
Knowledge-enhanced learned representation enriches protein sequence and SMILES drug databases with a large Knowledge Graph fused from different sources. This improves results on TDC drug target binding affinity prediction benchmarks.
HHW-zhou/LLM4Mol
A comprehensive repository dedicated to the collection and exploration of studies utilizing Large Language Models for molecular design, protein research, and material science.
Haotian-Shi-cyber/damaiapp
damai app qiangpiao