Wilson-ZHANG's Stars
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
openai/glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
KwaiKEG/KwaiAgents
A generalized information-seeking agent system with Large Language Models (LLMs).
baofff/U-ViT
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".
PharMolix/OpenBioMed
chainer/chainer-chemistry
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
google-research/vmoe
BenevolentAI/guacamol
Benchmarks for generative chemistry
TencentAILabHealthcare/scBERT
hkmztrk/DeepDTA
guanjq/targetdiff
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Ablustrund/LoRAMoE
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
ketatam/DiffDock-PP
Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)
BioinfoMachineLearning/bio-diffusion
A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization (Nature CommsChem)
dongguanting/In-Context-Learning_PaperList
Paper List for In-context Learning 🌷
NVIDIA/MegaMolBART
A deep learning model for small molecule drug discovery and cheminformatics based on SMILES
Saoge123/PocketFlow
an autoregressive flow model incorporated with chemical acknowledge for generating drug-like molecules inside protein pockets
vsomnath/graphretro
Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
MolecularAI/MolBART
Pretrained SMILES transformation model for finetuning for diverse molecular tasks.
NVlabs/RetMol
A new retrieval-based framework for controllable molecule generation.
qiangbo1222/HierDiff
Implementation of ICML2023 paper : Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
meyresearch/SILVR
chao1224/MoleculeSDE
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
CMACH508/KGDiff
Towards Explainable Target-Aware Molecule Generation with Knowledge Guidance
danielflamshep/xyztransformer
coming soon
MIRALab-USTC/DD-RetroDCVAE
A novel template-free retrosynthesizer that can generate diverse sets of reactants for a desired product via discrete conditional variational autoencoders.
samkoesnadi/GLOW-tf2
Glow: Generative Flow with Invertible 1x1 Convolutions in Tensorflow 2
hankook/RetCL