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mini-batching

Here are 4 public repositories matching this topic...

rohit18115 / ASVspoof2021_OC_model

code for the paper "Impact of Channel Variation on One-Class Learning for Spoof Detection"

machine-learning deep-learning speech anti-spoofing presentation-attack-detection mini-batching spoof-detection batch-sampler custom-batching

Updated Oct 3, 2021
Python

Scrayil / k-means

This project consists in the implementation of the K-Means and Mini-Batch K-Means clustering algorithms. This is not to be considered as the final and most efficient algorithm implementation as the objective here is to make a clear comparison between the sequential and parallel execution of the clustering steps.

benchmark machine-learning clustering gpu parallel-computing multithreading k-means unsupervised-learning clusters mini-batch-kmeans speedup parallel-programming unsupervised-machine-learning k-means-clustering euclidean-distances gpu-programming centroids perfomance-analysis mini-batching

Updated Jul 9, 2023
C++

op12no2 / toynet

A Javascript version of Alexander Schiendorfer's blog post "A worked example of backpropagation".

javascript machine-learning neural-network backpropagation activation-functions mini-batching

Updated Jul 9, 2021
JavaScript

W-Mrt / Mini-batch-k-Means-Clustering

Implement mini-batch k-means in PySpark distributed framework and test the performance of the algorithm on standard synthetic datasets

machine-learning clustering scikit-learn pyspark k-means distributed-algorithm mini-batching

Updated Jul 29, 2022
Jupyter Notebook

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