An open API service providing repository metadata for many open source software ecosystems.

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

Related Topics
machine-learning 7 deep-learning 7 kernel-methods 5 pytorch 5 stochastic-optimization 3 transfer-learning 3 r 2 non-convex-optimization 2 computer-vision 2 matlab 2 machine-learning-algorithms 2 hashing 2 big-data 2 feature-extraction 2 image-classfication 1 fasterrcnn 1 faster-rcnn-resnet 1 faster-rcnn 1 faster-r-cnn 1 chest-x-ray14 1 maskrcnn-benchmark 1 object-detection 1 openimages 1 openimages-v4 1 pytorch-implementation 1 transferring-classification-weights 1 visual-genome 1 chest-xray-images 1 chexpert-dataset 1 covidx-dataset 1 distributed-training 1 few-shot-learning 1 fine-tuning 1 imagenet 1 medical-imaging 1 mimic-cxr 1 padchest-dataset 1 pre-trained-model 1 pre-training 1 scaling-laws 1 supercomputing 1 ae-wtn 1 detection-network 1 recommender-system 1 factorization-machines 1 pytorch-examples 1 word2vec 1 streaming-processing 1 streaming-data 1 representation-learning 1 node2vec 1 multi-scale 1 graph-mining 1 graph-kernel 1 graph-classification 1 gensim 1 distributed-machine-learning 1 deepwalk 1 data-science 1 data-mining 1 time-series-forecasting 1 research-paper 1 probabilistic-models 1 scaleable 1 graph-neural-networks 1 graph-learning 1 pytorch-extension 1 multinode 1 multigpu 1 learning-rate-decay 1 optimizers 1 weight-transfer 1 visualgenome-dataset 1 big-transfer 1 random-features 1 nystrom 1 krls 1 supervised-learning 1 semi-supervised-learning 1 dna-metagenomics 1 count-sketches 1 compressive-sensing 1 variance-reduction 1 stochastic-optimizers 1 stochastic-gradient-descent 1 sgd 1 riemannian-optimization 1 riemannian-manifold 1 optimization-algorithms 1 optimization 1 online-learning 1 nonlinear-optimization-algorithms 1 nonlinear-optimization 1 manifold 1 constrained-optimization 1 thesis 1 structured-learning 1 latex-document 1 tensorflow 1 label-noise 1