ecust-hc's Stars
649453932/Bert-Chinese-Text-Classification-Pytorch
使用Bert,ERNIE,进行中文文本分类
TMElyralab/MuseTalk
MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
myshell-ai/OpenVoice
Instant voice cloning by MIT and MyShell. Audio foundation model.
OpenTalker/video-retalking
[SIGGRAPH Asia 2022] VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild
ecust-hc/ScaffoldGVAE
ScaffoldGVAE: A Variational Autoencoder Based on Multi-View Graph Neural Networks for Scaffold Generation and Scaffold Hopping of Drug Molecules
songleee/LS-MolGen
A ligand-and-structure dual-driven deep reinforcement learning method for target-specific molecular generation
ecust-hc/ScaffoldVAE
Scaffold Hopping
PlexPt/awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
OpenNMT/OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
deepmodeling/Uni-Mol
Official Repository for the Uni-Mol Series Methods
debbiemarkslab/EVmutation
Mutation effects predicted from sequence co-variation
OATML-Markslab/EVE
Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
jingraham/neurips19-graph-protein-design
Generative Models for Graph-Based Protein Design
drorlab/gvp-pytorch
Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
OATML-Markslab/Tranception
Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"
salesforce/progen
Official release of the ProGen models
google-research/bert
TensorFlow code and pre-trained models for BERT
luoyunan/ECNet
An evolutionary context-integrated deep learning framework for protein engineering