Gradually-Warmup Learning Rate Scheduler for PyTorch
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Oct 10, 2024 - Python
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large-scale-learning
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Federated Optimization in Heterogeneous Networks (MLSys '20)
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Mar 24, 2023 - Python
Large-scale, multi-GPU capable, kernel solver
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Jul 16, 2024 - Python
[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
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Dec 22, 2024 - Python
Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
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Jun 26, 2018 - Python
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
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Feb 7, 2022 - C++
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
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Jan 5, 2023 - MATLAB
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
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Sep 17, 2019 - Python
i-RIM applied to the fastMRI challenge data.
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Sep 8, 2021 - Python
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)
deep-learning pytorch medical-imaging imagenet chest-xray-images transfer-learning large-scale-learning supercomputing distributed-training fine-tuning few-shot-learning pre-training pre-trained-model mimic-cxr chest-x-ray14 padchest-dataset covidx-dataset big-transfer chexpert-dataset scaling-laws
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May 29, 2022 - Jupyter Notebook
A curated list of papers on large-scale graph learning.
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Mar 24, 2024
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
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Oct 6, 2019 - C++
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
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Sep 14, 2021 - C++
Fast Factorization Machines
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Mar 26, 2018 - C++
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Jul 14, 2019 - Python
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
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Aug 14, 2022 - Python
Network of Experts for Large-Scale Image Categorization [ECCV 2016]
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Jul 22, 2019 - C++
Enitor provides the MATLAB implementation of several large-scale kernel methods.
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Sep 20, 2019 - MATLAB
Machine Learning Platform Based on PS-Lite
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Jul 13, 2018 - C++
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
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Nov 19, 2018
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