Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
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Updated
Apr 13, 2026 - Python
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
JAMA 2016; 316(22) Replication Study
Implementation of evolutionary model of variant effect (EVE), a deep generative model of evolutionary data, in PyTorch.
Implementation of BPNet, a base-resolution convolutional neural network for transcription-factor binding prediction, in PyTorch.
Debugging WebSocket connection closures with Bocadillo and Uvicorn
Repository to reproduce the experiments of the paper An SDN-inspired Model for Faster Network Experimentation
Reproduction package: Perceived entry threat is associated with pre-emption by frontier firms, and the predicted abandonment response of laggards is not detected (Woo, 2026; pre-registered innovation-race test, Korean Innovation Survey, LLM agents)
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