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Gradually-Warmup Learning Rate Scheduler for PyTorch
Created
2019-01-16
41 commits to master branch, last one about a month ago
Federated Optimization in Heterogeneous Networks (MLSys '20)
Created
2019-01-25
13 commits to master branch, last one 3 years ago
Large-scale, multi-GPU capable, kernel solver
Created
2020-06-16
363 commits to master branch, last one 4 months ago
[CVPR 2024 Extension] 160K volumes (42M slices) datasets, new segmentation datasets, 31M-1.2B pre-trained models, various pre-training recipes, 50+ downstream tasks implementation
Created
2024-10-08
182 commits to main branch, last one 3 days ago
Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, bitwise clustering
Created
2013-08-15
130 commits to master branch, last one 9 years ago
Riemannian stochastic optimization algorithms: Version 1.0.3
sgd
big-data
manifold
optimization
online-learning
machine-learning
variance-reduction
riemannian-manifold
large-scale-learning
stochastic-optimizers
nonlinear-optimization
non-convex-optimization
optimization-algorithms
riemannian-optimization
stochastic-optimization
constrained-optimization
machine-learning-algorithms
stochastic-gradient-descent
nonlinear-optimization-algorithms
Created
2018-07-12
63 commits to master branch, last one about a year ago