This file stores a representative set of saved models from the manuscript "The Effects of Nonlinear Signal on Expression-Based Prediction Performance". To simplify the uploading process, the file was split into chunks using the `split` utility in Linux. They can be joined back together with the command `cat model_weights* > model_weights.tar.gz` These saved files correspond to the weights and optimizer state of models trained on various biological tasks. They can be "rehydrated" using the `load_model` function of the associated model class from this repo: https://github.com/greenelab/linear_signa
This archive holds trained models and associated data for the manuscript: "Single-cell gene expressi...
Trained network weights for the paper "Compositionally restricted attention-based network for materi...
This dataset includes; - Precomputed representation vectors of human proteins with various protein ...
These two zipped folders contain the saved weights of the best model for FETILDA (w/BERT, w/FinBERT,...
Model Compression Reseach Package by Intel Labs is A Python library for researching neural networks ...
This data repository is associated with our GitHub code weights_*.zip: PyTorch, AutoKeras an...
This file describes the fit obtained for a Bayesian hierarchical model of the effects of control (gr...
The file contains a collection of large-scale benchmark models. The models can be used for testing m...
This directory contains the data necessary to reproduce the manuscript "Interpretable and tractable ...
The coupled model weights file contains the necessary weights to the machine learning network to run...
This deposit contains the model weights and corpora used for executing the experiments of the paper ...
We represent model coefficients as a matrix W (predictors by datasets) where nonzero rows represent ...
Experimental data, training datasets, and trained models for our study on deep model predictive cont...
This upload contains the model checkpoints for the experiments described in our WormSwin paper. s...
This deposit contains the model weights, embeddings and corpora used for executing the experiments o...
This archive holds trained models and associated data for the manuscript: "Single-cell gene expressi...
Trained network weights for the paper "Compositionally restricted attention-based network for materi...
This dataset includes; - Precomputed representation vectors of human proteins with various protein ...
These two zipped folders contain the saved weights of the best model for FETILDA (w/BERT, w/FinBERT,...
Model Compression Reseach Package by Intel Labs is A Python library for researching neural networks ...
This data repository is associated with our GitHub code weights_*.zip: PyTorch, AutoKeras an...
This file describes the fit obtained for a Bayesian hierarchical model of the effects of control (gr...
The file contains a collection of large-scale benchmark models. The models can be used for testing m...
This directory contains the data necessary to reproduce the manuscript "Interpretable and tractable ...
The coupled model weights file contains the necessary weights to the machine learning network to run...
This deposit contains the model weights and corpora used for executing the experiments of the paper ...
We represent model coefficients as a matrix W (predictors by datasets) where nonzero rows represent ...
Experimental data, training datasets, and trained models for our study on deep model predictive cont...
This upload contains the model checkpoints for the experiments described in our WormSwin paper. s...
This deposit contains the model weights, embeddings and corpora used for executing the experiments o...
This archive holds trained models and associated data for the manuscript: "Single-cell gene expressi...
Trained network weights for the paper "Compositionally restricted attention-based network for materi...
This dataset includes; - Precomputed representation vectors of human proteins with various protein ...