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Risk-aware multi-agent deep reinforcement learning for packet routing in ultra-dense LEO satellite networks

An ultra-fast and accurate tool for KEGG Orthology (KO) assignment, powered by deep learning.

Who doesn’t dream of a new FPGA family that can provide embedded hard neurons in its silicon architecture fabric instead of the conventional DSP and multiplier blocks? The optimized hard neuron design will allow all the software and hardware designers to create or test different deep learning net... Read more

The Basic Classification

Code accompanying the paper "Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels"

Accurate prediction of photovoltaic (PV) power depends on meteorological forecasting techniques, which is crucial for safe operation of power system.In order to improve ultra-short-term PV power prediction, a hybrid deep learning model that integrates meteorological models and station measurement... Read more

Implementation of the model from "Faster sorting algorithms discovered using deep reinforcement learning" that discovered an all-new ultra fast sorting algorithm.