Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
-
Updated
Jun 5, 2024 - Python
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
JAMA 2016; 316(22) Replication Study
Implementation of SpliceAI, Illumina's deep neural network to predict variant effects on splicing, in PyTorch.
Code for Socius submission for the Fragile Families Challenge
Implementation of Abyssal, a deep neural network trained with a new "mega" dataset to predict the impact of an amino acid variant on protein stability.
replicable code for "Triadic analysis of affiliation networks"
Implementation of Tranception, a SOTA transformer model for protein fitness prediction, in PyTorch.
Debugging WebSocket connection closures with Bocadillo and Uvicorn
Reproduction code for "Putting An End to End-to-End: Gradient-Isolated Learning of Representations"
Implementation of evolutionary model of variant effect (EVE), a deep generative model of evolutionary data, in PyTorch.
Repository to reproduce the experiments of the paper An SDN-inspired Model for Faster Network Experimentation
Implementation of BPNet, a base-resolution convolutional neural network for transcription-factor binding prediction, in PyTorch.
Reprodução do projeto da trilha Foundations na edição NLW IA - Rocketseat.
🐝 Demonstration a type inference problem in TSServer.
bibliographic data and scientometric analysis for a systematic review of network analyses of routinely collected healthcare datasets
Reproduction repository for blocked event loop when unsubscribing in Meteor
Add a description, image, and links to the reproduction-code topic page so that developers can more easily learn about it.
To associate your repository with the reproduction-code topic, visit your repo's landing page and select "manage topics."