Topic: "large-scale-learning"
ildoonet/pytorch-gradual-warmup-lr
Gradually-Warmup Learning Rate Scheduler for PyTorch
Language: Python - Size: 52.7 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 988 - Forks: 126

litian96/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
Language: Python - Size: 29.4 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 599 - Forks: 155

FalkonML/falkon
Large-scale, multi-GPU capable, kernel solver
Language: Python - Size: 7.54 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 177 - Forks: 20

kuanghuei/clean-net
Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
Language: Python - Size: 875 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 85 - Forks: 28

cmdevries/LMW-tree
Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, bitwise clustering
Language: C++ - Size: 74.5 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 74 - Forks: 20

hiroyuki-kasai/RSOpt
Riemannian stochastic optimization algorithms: Version 1.0.3
Language: MATLAB - Size: 7.62 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 19

xternalz/AE-WTN
Scaling Object Detection by Transferring Classification Weights
Language: Python - Size: 90 MB - Last synced at: 10 months ago - Pushed at: over 5 years ago - Stars: 29 - Forks: 8

pputzky/irim_fastMRI
i-RIM applied to the fastMRI challenge data.
Language: Python - Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 26 - Forks: 8

SLAMPAI/large-scale-pretraining-transfer
Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)
Language: Jupyter Notebook - Size: 401 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 4

rdspring1/MISSION
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Language: C++ - Size: 56.6 KB - Last synced at: 20 days ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 6

benedekrozemberczki/NestedSubtreeHash
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
Language: Python - Size: 151 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 8

jmdvinodjmd/LIBS2ML
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
Language: C++ - Size: 221 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 7

cmpark0126/pytorch-LARS
Language: Python - Size: 1.87 MB - Last synced at: 14 days ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 3

dselivanov/FM
Fast Factorization Machines
Language: C++ - Size: 18.6 KB - Last synced at: 1 day ago - Pushed at: about 7 years ago - Stars: 9 - Forks: 2

raffaello-camoriano/Enitor
Enitor provides the MATLAB implementation of several large-scale kernel methods.
Language: MATLAB - Size: 68.7 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 0

deepinsight/paralite
Machine Learning Platform Based on PS-Lite
Language: C++ - Size: 134 KB - Last synced at: 1 day ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 4

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.
Language: Python - Size: 23.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

YuanchenBei/Awesome-Large-Scale-Graph-Learning
A curated list of papers on large-scale graph learning.
Size: 64.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

RobbenRibery/TimeSeries-Probalistic-TopDown-Drichilet
Make HTS Forecasting paper implemented on a M5 dataset
Language: Jupyter Notebook - Size: 213 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

aaradhanas/machine-learning
Machine learning course by Andrew Ng
Language: Matlab - Size: 53.4 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 2

amkatrutsa/dl-opt
Tutorials on optimizers for deep neural networks
Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

macsharma/T-EFS-LS-MCM
Repository for non-Mercer multiclass EFS-LS-MCM presented in IJCNN 2018
Language: Python - Size: 195 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

jysonganan/HMMdmdv
R package: Hidden Markov Model for Bayesian Inference of large-scale mean and variance testing
Language: R - Size: 821 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

RomainBrault/Thesis
My thesis
Language: TeX - Size: 180 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
