GitHub topics: adaptive-selection
fzhu0628/G-CADA---Adaptive-worker-grouping-for-communication-efficient-and-straggler-tolerant-distributed-SGD
This work was published at IEEE ISIT 2022, where we proposed a novel algorithm named G-CADA aiming to improve the time and communication efficiency of distributed learning systems based on grouping and adaptive selection methods :smile:
Language: Python - Size: 11.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
pievos101/kNN-Genome-Scans
Genome scans for selection and introgression based on k‐nearest neighbour techniques.
Language: R - Size: 12.3 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1
pievos101/BlockFeST
Bayesian calculation of region-specific FST to detect local adaptation
Language: R - Size: 58.6 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1
osahp/forecastonishing
An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.
Language: Python - Size: 70.3 KB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 2
osa-decentralized/forecastonishing
An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.
Language: Python - Size: 70.3 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0
