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Search results for algorithms sgd
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sgd
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13 search results found
Ml From Scratch
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188
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
Ml_algo
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171
Machine learning algorithms in Dart programming language
Boml
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124
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
Rsopt
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51
Riemannian stochastic optimization algorithms: Version 1.0.3
Ftrl
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49
R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm
Neural Net Optimization
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49
PyTorch implementations of recent optimization algorithms for deep learning.
Deep Learning Optimization Algorithms
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37
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Bottou Sgd
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30
Leon Bottou's SGD
Sgd Opt
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22
A comparasion among different variant of gradient descent algorithm
Stochastic_bb
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20
Python implementation of SVRG-BB and SGD-BB algorithms
Wmil
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17
Weighted multiple-instance learning algorithm
Gtopkssgd
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17
gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
Sklearn Hogwild
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15
An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.
Myalgorithms
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9
simple implementations of DL ML Matrix and DataStructures
Scalable Variational Bayesian Factorization Machine
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8
Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.
Dsgdpp
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8
Implementations of various parallel algorithms for matrix factorization (including DSGD++)
Sgd
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8
Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)
Vr Sgd
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7
A demo for VR-SGD(Comparing to some state-of-the-art algorithms).
Caffe Adamw Adamwr
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7
Implementation of AdamW and AdamWR Algorithms in caffe.
Torch Ml
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5
Implementation of some fundamental Machine Learning algorithms completely written in Pytorch
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