Test MTSCI from trained model First, set the scratch is False in scripts. Then, run these scripts. bash ./scripts/ETT_point.sh bash ./scripts/ETT_block.sh bash ./scripts/Weather_point.sh bash ./scripts/Weather_block.sh bash ./scripts/METRLA_point.sh bash ./scripts/METRLA_block.shAbo...
DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design - igashov/DiffLinker
Using a model as a pretransform for another model (e.g. using an autoencoder model for latent diffusion) Fine-tuning a pre-trained model with a modified configuration (i.e. partial initialization) Fine-tuning Fine-tuning a model involves continuning a training run from a pre-trained checkpoi...
Using a model as a pretransform for another model (e.g. using an autoencoder model for latent diffusion) Fine-tuning a pre-trained model with a modified configuration (i.e. partial initialization) Fine-tuning Fine-tuning a model involves continuning a training run from a pre-trained checkpoi...
It also contains the training configuration needed to fine-tune a model or train from scratch. The following properties are defined in the top level of the model configuration: model_type The type of model being defined, currently limited to one of "autoencoder", "diffusion_uncond", "...
Using a model as a pretransform for another model (e.g. using an autoencoder model for latent diffusion) Fine-tuning a pre-trained model with a modified configuration (i.e. partial initialization) Fine-tuning Fine-tuning a model involves continuning a training run from a pre-trained checkpoi...
It also contains the training configuration needed to fine-tune a model or train from scratch. The following properties are defined in the top level of the model configuration: model_type The type of model being defined, currently limited to one of "autoencoder", "diffusion_uncond", "...