"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]
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Jul 20, 2024 - Python
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minibatch
Here are 8 public repositories matching this topic...
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
python
neural-network
numpy
python3
rprop
momentum
backpropagation
online-learning
stochastic-gradient-descent
softmax
minibatch
batch-learning
kfold-cross-validation
activation-functions
early-stopping
classification-problem
gradient-based-algorithm
irprop
resilient-backpropagation
improved-resilient-backpropagation
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Jul 22, 2023 - Python
Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
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Feb 12, 2022 - Python
Pytorch LSTM tagger tutorial with minibatch training. Includes discussion on proper padding, embedding, initialization and loss calculation.
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Feb 3, 2021 - Python
A data stream clusterer and hyper parameter optimizer using microservices.
microservices
clustering
data-stream
hyperparameter-optimization
data-stream-clustering
minibatch
clustream
streamkm
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Nov 23, 2020 - Python
Coded Examples of Different types of Clustering Techniques...
machine-learning
heatmap
color-palette
artificial-intelligence
digit-recognition
clustering-algorithm
kmeans-clustering
color-quantization
spectral-clustering
minibatch
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Jun 19, 2018 - Python
Simple neural network classifier on the MNIST digit set
python
machine-learning
neural-network
machine-learning-algorithms
python3
mnist
softmax
cross-entropy
minibatch
mnist-handwriting-recognition
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May 1, 2018 - Python
Usefull python implementation of batch iterator.
python
data-science
machine-learning
batch
data-analytics
data-analysis
mini-batch
iterate
minibatch
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Jan 3, 2018 - Python
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