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large-scale-learning

Here are 11 public repositories matching this topic...

ildoonet / pytorch-gradual-warmup-lr

Gradually-Warmup Learning Rate Scheduler for PyTorch

deep-learning pytorch large-scale-learning multigpu multinode learning-rate-decay pytorch-extension

Updated Oct 10, 2024
Python

litian96 / FedProx

Federated Optimization in Heterogeneous Networks (MLSys '20)

large-scale-learning distributed-optimization parallel-learning federated-optimization

Updated Mar 24, 2023
Python

Luffy03 / Large-Scale-Medical

[TPAMI 2025] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

benchmark pretrained-models large-scale-learning medical-image-analysis medical-image-segmentation self-supervised-learning foundation-models

Updated Jan 13, 2026
Python

FalkonML / falkon

Large-scale, multi-GPU capable, kernel solver

python machine-learning ai kernel pytorch kernel-methods large-scale-learning

Updated Jul 17, 2025
Python

kuanghuei / clean-net

Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)

computer-vision deep-learning tensorflow transfer-learning large-scale-learning label-noise

Updated Jun 26, 2018
Python

xternalz / AE-WTN

Scaling Object Detection by Transferring Classification Weights

Updated Sep 17, 2019
Python

pputzky / irim_fastMRI

i-RIM applied to the fastMRI challenge data.

deep-learning mri inverse-problems large-scale-learning fastmri

Updated Sep 8, 2021
Python

cmpark0126 / pytorch-LARS

deep-learning pytorch large-scale-learning pytorch-examples

Updated Jul 14, 2019
Python

benedekrozemberczki / NestedSubtreeHash

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

hashing data-science machine-learning data-mining word2vec deepwalk feature-extraction gensim representation-learning graph-mining large-scale-learning streaming-data graph-kernel node2vec distributed-machine-learning graph-classification streaming-processing multi-scale

Updated Aug 14, 2022
Python

enricivi / SEMI-FALKON

Falkon is one of the most efficient algorithm able to work in a supervised large scale setting. This method is the result of a combination of three simple principles: sub-sampling, preconditioning and iterative solvers. In order to extend FALKON usability we have designed an extension able to work in a semi-supervised scenario.

supervised-learning semi-supervised-learning kernel-methods large-scale-learning

Updated Sep 1, 2020
Python

macsharma / T-EFS-LS-MCM

Repository for non-Mercer multiclass EFS-LS-MCM presented in IJCNN 2018

machine-learning kernel-methods large-scale-learning mercer-kernels

Updated Jul 10, 2018
Python

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