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Search results for machine learning sgd
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33 search results found
Machinelearning
⭐
4,895
Basic Machine Learning and Deep Learning
Tribuo
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1,202
Tribuo - A Java machine learning library
Fastfm
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955
fastFM: A Library for Factorization Machines
Dist Keras
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611
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
Awesome Distributed Deep Learning
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309
A curated list of awesome Distributed Deep Learning resources.
Machine Learning In Action
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226
个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修
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.
Sgdlibrary
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181
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Ml_algo
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171
Machine learning algorithms in Dart programming language
Jiro Nn
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113
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
Adaptive Inertia Adai
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94
The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2022 Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".
Fuck Sjtu Ml Exam
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53
该仓库面向SJTU SE-125 机器学习 的期末考试.这个仓库主要记录了个人根据老师提供的考纲文档 整理的笔记。 其中大部分都是根据文档上网查阅资料并copy的,夹带有一定私货。 仓库中整理的文档与老师上课的slides关系不大(因为我真的看不懂那么多公式推导)。希望这些文档可以
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
Jensen
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39
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Quadflor
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34
End-2-end multi-label classification in python
Federated Learning
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33
tf implementation of federated learning
Sibe
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33
Experimental Haskell machine learning library
Autoopt
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32
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
Jensen
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30
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Ml Mcu
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28
Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Scalaml
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20
Implement some ML algorithms in scala
Le
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17
Machine Learning Framework
Mlcourse_dubai
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17
Repository for ML course in Dubai
Gradient Energy Matching
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17
Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".
Factorizationmachine
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16
implementation of factorization machine, support classification.
Systemml Nn
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12
A deep learning library for Apache SystemML.
Myalgorithms
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9
simple implementations of DL ML Matrix and DataStructures
Byzantinemomentum
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8
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)
Cu2rec
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8
CUDA Implementation of Parallel Matrix Factorization Algorithm for Recommender Systems
Pantip Libr
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8
📚 Topic sentiment analysis hack project (with scraped Pantip.com threads)
Matdl
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8
A Lightweight Deep Learning Library in MATLAB
Simpledeepnettoolbox
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7
Simple MATLAB toolbox for deep learning network: Version 1.0.3
Learning_to_learn
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6
Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016
Ri Sgd
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5
Implementation of Redundancy Infused SGD for faster distributed SGD.
Transfer Learning For Flower Classification By Resnet
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5
A jupyter notebook is provided for in-depth explanation.
Articlelist
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5
article collections for some topics about machine learning/deep learning
Pypytorch
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5
PyPyTorch is a simple deep learning framework implemented by Python3
Grokking Deep Learning Notebooks
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5
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
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1-33 of 33 search results
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