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large-scale-learning

Here are 28 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

FalkonML / falkon

Large-scale, multi-GPU capable, kernel solver

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

Updated Jul 16, 2024
Python

Luffy03 / Large-Scale-Medical

[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

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

Updated Nov 18, 2024
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

cmdevries / LMW-tree

Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, bitwise clustering

locality-sensitive-hashing random-projections clustering-algorithm streaming-algorithms large-scale-learning hierarchical-clustering k-means-clustering random-indexing bit-vectors

Updated Feb 7, 2022
C++

hiroyuki-kasai / RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

machine-learning big-data optimization machine-learning-algorithms constrained-optimization sgd manifold nonlinear-optimization optimization-algorithms large-scale-learning online-learning stochastic-optimizers variance-reduction stochastic-gradient-descent nonlinear-optimization-algorithms stochastic-optimization riemannian-manifold riemannian-optimization non-convex-optimization

Updated Jan 5, 2023
MATLAB

xternalz / AE-WTN

Scaling Object Detection by Transferring Classification Weights

computer-vision pytorch faster-rcnn object-detection transfer-learning openimages large-scale-learning fasterrcnn detection-network visual-genome faster-rcnn-resnet faster-r-cnn visualgenome-dataset openimages-v4 pytorch-implementation image-classfication maskrcnn-benchmark weight-transfer ae-wtn 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

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)

Updated May 29, 2022
Jupyter Notebook

YuanchenBei / Awesome-Large-Scale-Graph-Learning

A curated list of papers on large-scale graph learning.

scaleable large-scale-learning graph-learning graph-neural-networks

Updated Mar 24, 2024

rdspring1 / MISSION

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches

hashing feature-extraction large-scale-learning compressive-sensing dna-metagenomics count-sketches

Updated Oct 6, 2019
C++

jmdvinodjmd / LIBS2ML

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

c-plus-plus big-data matlab machine-learning-algorithms stochastic octave-scripts mex-files large-scale-learning matlab-script stochastic-optimization second-order-optimization

Updated Sep 14, 2021
C++

dselivanov / FM

Fast Factorization Machines

machine-learning r recommender-system factorization-machines large-scale-learning

Updated Mar 26, 2018
C++

cmpark0126 / pytorch-LARS

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

Updated Jul 14, 2019
Python

karim-ahmed / nofe-caffe

Network of Experts for Large-Scale Image Categorization [ECCV 2016]

deep-learning image-classification experts large-scale-learning network-of-experts

Updated Jul 22, 2019
C++

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

raffaello-camoriano / Enitor

Enitor provides the MATLAB implementation of several large-scale kernel methods.

matlab kernel-methods large-scale-learning nystrom random-features krls

Updated Sep 20, 2019
MATLAB

deepinsight / paralite

Machine Learning Platform Based on PS-Lite

machine-learning large-scale-learning

Updated Jul 13, 2018
C++

ArunkumarRamanan / Universal-ML

Universal ML: Large Scale Distributed Machine Learning (Deep Learning) Systems

distributed-systems machine-learning deep-learning machine-learning-algorithms large-scale-learning large-scale-optimizations

Updated Nov 19, 2018

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