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LaTeX Template for Doctor (Master) Thesis of ECNU
An official pytorch implementation of "MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts"
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
an autoregressive flow model incorporated with chemical acknowledge for generating drug-like molecules inside protein pockets
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".
Towards Explainable Target-Aware Molecule Generation with Knowledge Guidance
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
A generalized information-seeking agent system with Large Language Models (LLMs).
A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization (Nature CommsChem)
Implementation of ICML2023 paper : Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
Ongoing research training transformer models at scale
Paper List for In-context Learning 🌷
Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
Pretrained SMILES transformation model for finetuning for diverse molecular tasks.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A deep learning model for small molecule drug discovery and cheminformatics based on SMILES
A novel template-free retrosynthesizer that can generate diverse sets of reactants for a desired product via discrete conditional variational autoencoders.
Glow: Generative Flow with Invertible 1x1 Convolutions in Tensorflow 2
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry