ForceGen 실행 제출용

Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)

Let us control diffusion models!

25-1 생성모델 / 전영은 / (2022)(ArXiv) Hierarchical Text-Conditional Image Generation with CLIP Latents

[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Implementation of the Paper "Physics Informed Diffusion Model for Protein Pocket Specific 3D Molecular Generation" published in Computers in Biology and medicine.

Source Code for CIKM2024 submission

Python-based Informatics Kit for Analysing Chemical Units

Molecular Reinforcement Learning with Adaptive Intrinsic Reward for Goal-directed Molecular Generation.

A deep learning model for small molecule drug discovery and cheminformatics based on SMILES

CCDT(Configuration Clustering Database Tuning)

Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)

K2vTune (A Workload-aware Configuration Tuning for RocksDB)

De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem (BIBM 2021)

rewrote JTVAE with Python3

RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance (Scientific Reports)