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Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...
dbscan
naive-bayes
em-algorithm
newton-method
factor-analysis
lasso-regression
ridge-regression
k-nearest-neighbors
batch-gradient-descent
low-rank-approximation
support-vector-machine
multinomial-naive-bayes
expectation-maximization
latent-semantic-analysis
stochastic-gradient-descent
linear-discriminant-analysis
singular-value-decomposition
independent-component-analysis
sequential-minimal-optimization
expectation-maximization-algorithm
Created
2018-04-05
345 commits to master branch, last one 2 years ago
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
Created
2018-04-07
173 commits to master branch, last one 2 months ago
Fine-tuning of diffusion models
Created
2022-11-22
85 commits to main branch, last one 2 years ago
LoRA (Low-Rank Adaptation) inspector for Stable Diffusion
Created
2023-04-01
58 commits to main branch, last one 5 months ago
VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.
Created
2015-05-24
2,970 commits to master branch, last one 13 days ago
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
Created
2020-03-14
19 commits to master branch, last one 2 years ago
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Created
2020-11-25
739 commits to master branch, last one 8 months ago