Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
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Updated
Jun 5, 2024 - Python
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
JAMA 2016; 316(22) Replication Study
Implementation of BPNet, a base-resolution convolutional neural network for transcription-factor binding prediction, in PyTorch.
Implementation of evolutionary model of variant effect (EVE), a deep generative model of evolutionary data, 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
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